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HomeCompaniesEhtl Fa Us6 Oraclecloud Com CX 2Lead Enterprise Data Architect

Lead Enterprise Data Architect

Ehtl Fa Us6 Oraclecloud Com CX 2 · Charlotte, NC, United States; USA - St. Louis - MO07, St. Louis, MO, US · Hybrid · Active · $7 · Oracle Recruiting Cloud / Fusion HCM

Job facts

FieldValue
CompanyEhtl Fa Us6 Oraclecloud Com CX 2
TitleLead Enterprise Data Architect
Normalized title-
Department / teamData Management
LocationCharlotte, NC, United States
Work modelHybrid / Hybrid
Employment typeFull Time
Salary$7
Statusactive
ATS providerOracle Recruiting Cloud / Fusion HCM
Posted / first seen2026-04-21 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

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Linked records

CompanyEhtl Fa Us6 Oraclecloud Com CX 2
Source1a67e5c3-6073-43f7-8ad6-e94f80d7f27b
ATS providerOracle Recruiting Cloud / Fusion HCM

Description

Description Enterprise Data Architect We are seeking an experienced and passionate Enterprise Data Architect to build and own foundational enterprise data management capabilities spanning Master Data Management (MDM), Data Governance, Data Quality, Metadata & Cataloging, semantic/context layer engineering, and enterprise data architecture . This role combines strategic leadership with hands‑on technical expertise to ensure enterprise data is trusted, governed, discoverable, and ready for analytics, AI, and operational use. The Enterprise Data Architect designs, governs, and evolves the enterprise-wide data architecture that powers analytics, AI, and operational workflows. You will define standards and reference architectures; guide data modeling and integration patterns; and influence platform decisions across the enterprise data hub/warehouse ecosystem, MDM, governance, and metadata capabilities. JOB DUTIES Enterprise Data Architecture Leadership Define and maintain the enterprise data architecture strategy , reference models, and standards Create and govern canonical data models, domain models, and integration patterns Ensure architectural alignment across data engineering, analytics, MDM, governance, and application teams Drive modernization toward cloud‑native, scalable, AI‑ready architectures Define architecture guardrails for data security, privacy, and regulatory compliance in partnership with Security and Legal (e.g., access controls, classification, retention) Data Modeling & Canonical Design Lead design of conceptual, logical, and physical data models across domains Establish enterprise‑wide modeling standards, naming conventions, and modeling patterns Partner with MDM and governance teams to ensure consistency across master data, reference data, and operational data Semantic / Context Layer Architecture Architect and maintain the enterprise context layer (semantic layer) enabling consistent metrics, definitions, and reusable data entities Define metric logic, dimensional models, and semantic relationships used across BI, AI, and operational systems Ensure alignment with analytics engineering (dbt, metric stores, semantic tools) Master Data & Governance Architecture Architect MDM solutions including domain models, match/merge logic, hierarchies, and integration patterns Partner with governance teams to operationalize policies through technology Integrate metadata, lineage, and governance workflows into the architecture Data Integration & Platform Architecture Define ingestion, transformation, and consumption patterns across batch, streaming, and API‑based pipelines Architect cloud data platforms (Azure/AWS/GCP) including lakehouse, warehouse, and real‑time components Metadata, Catalog, and Lineage Architecture Ensure scalability, performance, security, and cost optimization Design metadata ingestion patterns and lineage frameworks across pipelines, BI tools, and MDM systems Implement enterprise cataloging solutions using platforms such as Collibra, Atlan, Alation, or similar Ensure metadata is complete, accurate, and actionable for governance and engineering teams Hands‑On Technical Execution Build and validate architectural prototypes, POCs, and reference implementations Write SQL, design schemas, build lineage connectors, and define transformation logic Troubleshoot complex data architecture issues across pipelines, models, and platforms Cross‑Functional Leadership Partner with data engineering, analytics, MDM, governance, product, and application teams Provide architectural guidance, code reviews, and technical mentorship Communicate architectural decisions to executives, engineers, and business stakeholders YOU MUST HAVE 8+ years of experience in data architecture, data engineering, or enterprise architecture Deep hands‑on experience with cloud data platforms (Snowflake, Databricks, Azure, AWS, or GCP) Strong expertise in data modeling (dimensional, relational, canonical, semantic) Experience architecting MDM and governance solutions using Collibra, Reltio, Atlan, Informatica, or similar Strong SQL, data pipeline design, and metadata/lineage engineering skills Experience with modern data stack tools (dbt, Spark, Kafka, Airflow, etc.) Ability to translate business needs into scalable architectural designs Experience with enterprise architecture frameworks (TOGAF, DAMA‑DMBOK) Background in designing AI‑ready data architectures (feature stores, vector stores, semantic layers) Experience with API‑driven architectures and event‑driven patterns Familiarity with data products and data mesh concepts Adoption of standardized data models and architectural patterns across the enterprise Reduction in data duplication, inconsistencies, and integration complexity High‑quality, governed, discoverable data powering analytics and AI Scalable, cost‑efficient cloud data platform performance Strong alignment between business, engineering, and governance teams WE VALUE Experience with enterprise architecture frameworks (TOGAF, DAMA‑DMBOK) Background in designing AI‑ready data architectures (feature stores, vector stores, semantic layers) Experience with API‑driven architectures and event‑driven patterns Familiarity with data products and data mesh concepts Success Measures Adoption of standardized data models and architectural patterns across the enterprise Reduction in data duplication, inconsistencies, and integration complexity High‑quality, governed, discoverable data powering analytics and AI Scalable, cost‑efficient cloud data platform performance Strong alignment between business, engineering, and governance teams #LI-FH1 #hybrid Company Resideo Technologies has announced its intention to spin off ADI Global Distribution and establish it as a separate, publicly traded company. Under this plan, ADI will continue its role as a leading global wholesale distributor serving commercial and residential markets, while Resideo will retain its manufacturing and product-solutions business. Upon separation, both companies will operate independently to better serve their respective markets and customers. The spin-off is currently targeted for completion in the second half of 2026, subject to customary conditions. Resideo is a $6.76 billion global manufacturer, developer, and distributor of technology-driven sensing and control solutions that help homeowners and businesses stay connected and in control of their comfort, security, energy use, and smart living. We focus on the professional channel, serving over 100,000 contractors, installers, dealers, and integrators across the HVAC, security, fire, electrical, and home comfort markets. Our products are found in more than 150 million residential and commercial spaces worldwide, with tens of millions of new devices sold annually. Trusted brands like Honeywell Home, First Alert, and Resideo power connected living for over 12.8 million customers through our Products & Solutions segment. Our ADI | Snap One segment spans 200+ stocking locations in 17 countries, offering a catalog of over 500,000 products from more than 1,000 manufacturers. With a global team of more than 14,000 employees, we offer the opportunity to make a real impact in a fast-growing, purpose-driven industry. Learn more at www.resideo.com . At Resideo, we bring together diverse individuals to build the future of homes. Resideo is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. For more information on applicable U.S. equal employment regulations, refer to the "EEO is the Law" poster , "EEO is the Law" Supplement Poster and the Pay Transparency Nondiscrimination Provision . Resideo complies with applicable equal employment laws in all countries where we do business. For more information on how we process your information in the job application process, please refer to Recruitment Privacy Notice . If you require a reasonable accommodation to apply for a job, please use Contact Us form for assistance.

Full job record

Job ID9a549462383579affbf5409ec0ae700856644f17
Org ID2c7530b8-8217-4180-984d-ba93744fa831
Source ID1a67e5c3-6073-43f7-8ad6-e94f80d7f27b
Board ID1a67e5c3-6073-43f7-8ad6-e94f80d7f27b
Provideroracle_hcm
Provider Job Key18263
TitleLead Enterprise Data Architect
Normalized Title
Statusactive
Activeyes
Location TextCharlotte, NC, United States; USA - St. Louis - MO07, St. Louis, MO, US
DepartmentData Management
Team
Employment Typefull_time
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionNC
CityCharlotte
Salary RawDescription Enterprise Data Architect We are seeking an experienced and passionate Enterprise Data Architect to build and own foundational enterprise data management capabilities spanning Master Data Management (MDM), Data Governance, Data Quality, Metadata & Cataloging, semantic/context layer engineering, and enterprise data architecture . This role combines strategic leadership with hands‑on technical expertise to ensure enterprise data is trusted, governed, discoverable, and ready for analytics, AI, and operational use. The Enterprise Data Architect designs, governs, and evolves the enterprise-wide data architecture that powers analytics, AI, and operational workflows. You will define standards and reference architectures; guide data modeling and integration patterns; and influence platform decisions across the enterprise data hub/warehouse ecosystem, MDM, governance, and metadata capabilities. JOB DUTIES Enterprise Data Architecture Leadership Define and maintain the enterprise data architecture strategy , reference models, and standards Create and govern canonical data models, domain models, and integration patterns Ensure architectural alignment across data engineering, analytics, MDM, governance, and application teams Drive modernization toward cloud‑native, scalable, AI‑ready architectures Define architecture guardrails for data security, privacy, and regulatory compliance in partnership with Security and Legal (e.g., access controls, classification, retention) Data Modeling & Canonical Design Lead design of conceptual, logical, and physical data models across domains Establish enterprise‑wide modeling standards, naming conventions, and modeling patterns Partner with MDM and governance teams to ensure consistency across master data, reference data, and operational data Semantic / Context Layer Architecture Architect and maintain the enterprise context layer (semantic layer) enabling consistent metrics, definitions, and reusable data entities Define metric logic, dimensional models, and semantic relationships used across BI, AI, and operational systems Ensure alignment with analytics engineering (dbt, metric stores, semantic tools) Master Data & Governance Architecture Architect MDM solutions including domain models, match/merge logic, hierarchies, and integration patterns Partner with governance teams to operationalize policies through technology Integrate metadata, lineage, and governance workflows into the architecture Data Integration & Platform Architecture Define ingestion, transformation, and consumption patterns across batch, streaming, and API‑based pipelines Architect cloud data platforms (Azure/AWS/GCP) including lakehouse, warehouse, and real‑time components Metadata, Catalog, and Lineage Architecture Ensure scalability, performance, security, and cost optimization Design metadata ingestion patterns and lineage frameworks across pipelines, BI tools, and MDM systems Implement enterprise cataloging solutions using platforms such as Collibra, Atlan, Alation, or similar Ensure metadata is complete, accurate, and actionable for governance and engineering teams Hands‑On Technical Execution Build and validate architectural prototypes, POCs, and reference implementations Write SQL, design schemas, build lineage connectors, and define transformation logic Troubleshoot complex data architecture issues across pipelines, models, and platforms Cross‑Functional Leadership Partner with data engineering, analytics, MDM, governance, product, and application teams Provide architectural guidance, code reviews, and technical mentorship Communicate architectural decisions to executives, engineers, and business stakeholders YOU MUST HAVE 8+ years of experience in data architecture, data engineering, or enterprise architecture Deep hands‑on experience with cloud data platforms (Snowflake, Databricks, Azure, AWS, or GCP) Strong expertise in data modeling (dimensional, relational, canonical, semantic) Experience architecting MDM and governance solutions using Collibra, Reltio, Atlan, Informatica, or similar Strong SQL, data pipeline design, and metadata/lineage engineering skills Experience with modern data stack tools (dbt, Spark, Kafka, Airflow, etc.) Ability to translate business needs into scalable architectural designs Experience with enterprise architecture frameworks (TOGAF, DAMA‑DMBOK) Background in designing AI‑ready data architectures (feature stores, vector stores, semantic layers) Experience with API‑driven architectures and event‑driven patterns Familiarity with data products and data mesh concepts Adoption of standardized data models and architectural patterns across the enterprise Reduction in data duplication, inconsistencies, and integration complexity High‑quality, governed, discoverable data powering analytics and AI Scalable, cost‑efficient cloud data platform performance Strong alignment between business, engineering, and governance teams WE VALUE Experience with enterprise architecture frameworks (TOGAF, DAMA‑DMBOK) Background in designing AI‑ready data architectures (feature stores, vector stores, semantic layers) Experience with API‑driven architectures and event‑driven patterns Familiarity with data products and data mesh concepts Success Measures Adoption of standardized data models and architectural patterns across the enterprise Reduction in data duplication, inconsistencies, and integration complexity High‑quality, governed, discoverable data powering analytics and AI Scalable, cost‑efficient cloud data platform performance Strong alignment between business, engineering, and governance teams #LI-FH1 #hybrid Company Resideo Technologies has announced its intention to spin off ADI Global Distribution and establish it as a separate, publicly traded company. Under this plan, ADI will continue its role as a leading global wholesale distributor serving commercial and residential markets, while Resideo will retain its manufacturing and product-solutions business. Upon separation, both companies will operate independently to better serve their respective markets and customers. The spin-off is currently targeted for completion in the second half of 2026, subject to customary conditions. Resideo is a $6.76 billion global manufacturer, developer, and distributor of technology-driven sensing and control solutions that help homeowners and businesses stay connected and in control of their comfort, security, energy use, and smart living. We focus on the professional channel, serving over 100,000 contractors, installers, dealers, and integrators across the HVAC, security, fire, electrical, and home comfort markets. Our products are found in more than 150 million residential and commercial spaces worldwide, with tens of millions of new devices sold annually. Trusted brands like Honeywell Home, First Alert, and Resideo power connected living for over 12.8 million customers through our Products & Solutions segment. Our ADI | Snap One segment spans 200+ stocking locations in 17 countries, offering a catalog of over 500,000 products from more than 1,000 manufacturers. With a global team of more than 14,000 employees, we offer the opportunity to make a real impact in a fast-growing, purpose-driven industry. Learn more at www.resideo.com . At Resideo, we bring together diverse individuals to build the future of homes. Resideo is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. For more information on applicable U.S. equal employment regulations, refer to the "EEO is the Law" poster , "EEO is the Law" Supplement Poster and the Pay Transparency Nondiscrimination Provision . Resideo complies with applicable equal employment laws in all countries where we do business. For more information on how we process your information in the job application process, please refer to Recruitment Privacy Notice . If you require a reasonable accommodation to apply for a job, please use Contact Us form for assistance.
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    "ExternalDescriptionStr": "<p><span style=\"color: rgb(30, 30, 30);\"><strong>Enterprise Data Architect</strong></span></p><p><span style=\"color: rgb(30, 30, 30);\">We are seeking an experienced and passionate <strong>Enterprise Data Architect</strong> to build and own foundational enterprise data management capabilities spanning <strong>Master Data Management (MDM), Data Governance, Data Quality, Metadata &amp; Cataloging, semantic/context layer engineering, and enterprise data architecture</strong>. This role combines <strong>strategic leadership</strong> with <strong>hands‑on technical expertise</strong> to ensure enterprise data is trusted, governed, discoverable, and ready for analytics, AI, and operational use.</span></p><p><span style=\"color: rgb(30, 30, 30);\">The <strong>Enterprise Data Architect</strong> designs, governs, and evolves the enterprise-wide data architecture that powers analytics, AI, and operational workflows. You will define standards and reference architectures; guide data modeling and integration patterns; and influence platform decisions across the enterprise data hub/warehouse ecosystem, MDM, governance, and metadata capabilities.</span></p><p><span style=\"color: rgb(30, 30, 30);\"><strong>JOB DUTIES</strong></span></p><p><span style=\"color: rgb(30, 30, 30);\"><strong>Enterprise Data Architecture Leadership</strong></span></p><ul><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Define and maintain the <strong>enterprise data architecture strategy</strong>, reference models, and standards</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Create and govern canonical data models, domain models, and integration patterns</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Ensure architectural alignment across data engineering, analytics, MDM, governance, and application teams</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in; margin-top: 0in;\"><span>Drive modernization toward cloud‑native, scalable, AI‑ready architectures</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in; margin-top: 0in;\"><span>Define architecture guardrails for data security, privacy, and regulatory compliance in partnership with Security and Legal (e.g., access controls, classification, retention)</span></li></ul><p><span style=\"color: rgb(30, 30, 30);\"><strong>Data Modeling &amp; Canonical Design</strong></span></p><ul><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Lead design of conceptual, logical, and physical data models across domains</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Establish enterprise‑wide modeling standards, naming conventions, and modeling patterns</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Partner with MDM and governance teams to ensure consistency across master data, reference data, and operational data</span></li></ul><p><span style=\"color: rgb(30, 30, 30);\"><strong>Semantic / Context Layer Architecture</strong></span></p><ul><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Architect and maintain the enterprise context layer (semantic layer) enabling consistent metrics, definitions, and reusable data entities</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Define metric logic, dimensional models, and semantic relationships used across BI, AI, and operational systems</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Ensure alignment with analytics engineering (dbt, metric stores, semantic tools)</span></li></ul><p><span style=\"color: rgb(30, 30, 30);\"><strong>Master Data &amp; Governance Architecture</strong></span></p><ul><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Architect MDM solutions including domain models, match/merge logic, hierarchies, and integration patterns</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Partner with governance teams to operationalize policies through technology</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Integrate metadata, lineage, and governance workflows into the architecture</span></li></ul><p><span style=\"color: rgb(30, 30, 30);\"><strong>Data Integration &amp; Platform Architecture</strong></span></p><ul><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Define ingestion, transformation, and consumption patterns across batch, streaming, and API‑based pipelines</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Architect cloud data platforms (Azure/AWS/GCP) including lakehouse, warehouse, and real‑time components</span></li></ul><p><span style=\"color: rgb(30, 30, 30);\"><strong>Metadata, Catalog, and Lineage Architecture</strong></span></p><ul><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Ensure scalability, performance, security, and cost optimization</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Design metadata ingestion patterns and lineage frameworks across pipelines, BI tools, and MDM systems</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Implement enterprise cataloging solutions using platforms such as Collibra, Atlan, Alation, or similar</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Ensure metadata is complete, accurate, and actionable for governance and engineering teams</span></li></ul><p><span style=\"color: rgb(30, 30, 30);\"><strong>Hands‑On Technical Execution</strong></span></p><ul><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Build and validate architectural prototypes, POCs, and reference implementations</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Write SQL, design schemas, build lineage connectors, and define transformation logic</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Troubleshoot complex data architecture issues across pipelines, models, and platforms</span></li></ul><p><span style=\"color: rgb(30, 30, 30);\"><strong>Cross‑Functional Leadership</strong></span></p><ul><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Partner with data engineering, analytics, MDM, governance, product, and application teams</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Provide architectural guidance, code reviews, and technical mentorship</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><p><span>Communicate architectural decisions to executives, engineers, and business stakeholders</span></p><p>&nbsp;</p><p><strong>YOU MUST HAVE</strong></p></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>8+ years of experience in data architecture, data engineering, or enterprise architecture</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Deep hands‑on experience with cloud data platforms (Snowflake, Databricks, Azure, AWS, or GCP)</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Strong expertise in data modeling (dimensional, relational, canonical, semantic)</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Experience architecting MDM and governance solutions using Collibra, Reltio, Atlan, Informatica, or similar</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Strong SQL, data pipeline design, and metadata/lineage engineering skills</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in;\"><span>Experience with modern data stack tools (dbt, Spark, Kafka, Airflow, etc.)</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal; margin-bottom: 0in; margin-top: 0in;\"><span>Ability to translate business needs into scalable architectural designs</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal;\"><span>Experience with enterprise architecture frameworks (TOGAF, DAMA‑DMBOK)</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal;\"><span>Background in designing AI‑ready data architectures (feature stores, vector stores, semantic layers)</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal;\"><span>Experience with API‑driven architectures and event‑driven patterns</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal;\"><span>Familiarity with data products and data mesh concepts</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal;\"><span>Adoption of standardized data models and architectural patterns across the enterprise</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal;\"><span>Reduction in data duplication, inconsistencies, and integration complexity</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal;\"><span>High‑quality, governed, discoverable data powering analytics and AI</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal;\"><span>Scalable, cost‑efficient cloud data platform performance</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal;\"><p><span>Strong alignment between business, engineering, and governance teams</span></p><p>&nbsp;</p><p><strong>WE VALUE</strong></p></li><li style=\"color: rgb(30, 30, 30); line-height: normal;\"><span>Experience with enterprise architecture frameworks (TOGAF, DAMA‑DMBOK)</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal;\"><span>Background in designing AI‑ready data architectures (feature stores, vector stores, semantic layers)</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal;\"><span>Experience with API‑driven architectures and event‑driven patterns</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal;\"><span>Familiarity with data products and data mesh concepts</span></li></ul><p><span style=\"color: rgb(30, 30, 30);\"><strong>Success Measures</strong></span></p><ul><li><span>Adoption of standardized data models and architectural patterns across the enterprise</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal;\"><span>Reduction in data duplication, inconsistencies, and integration complexity</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal;\"><span>High‑quality, governed, discoverable data powering analytics and AI</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal;\"><span>Scalable, cost‑efficient cloud data platform performance</span></li><li style=\"color: rgb(30, 30, 30); line-height: normal;\"><span>Strong alignment between business, engineering, and governance teams</span></li></ul><p style=\"line-height: normal; margin-bottom: 0in;\">#LI-FH1 #hybrid</p>",
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    "CorporateDescriptionStr": "<p>Resideo Technologies has announced its intention to spin off ADI Global Distribution and establish it as a separate, publicly traded company. Under this plan, ADI will continue its role as a leading global wholesale distributor serving commercial and residential markets, while Resideo will retain its manufacturing and product-solutions business. Upon separation, both companies will operate independently to better serve their respective markets and customers. The spin-off is currently targeted for completion in the second half of 2026, subject to customary conditions.</p>\n<p>Resideo is a $6.76 billion global manufacturer, developer, and distributor of technology-driven sensing and control solutions that help homeowners and businesses stay connected and in control of their comfort, security, energy use, and smart living. We focus on the professional channel, serving over 100,000 contractors, installers, dealers, and integrators across the HVAC, security, fire, electrical, and home comfort markets. Our products are found in more than 150 million residential and commercial spaces worldwide, with tens of millions of new devices sold annually. Trusted brands like Honeywell Home, First Alert, and Resideo power connected living for over 12.8 million customers through our Products &amp; Solutions segment. Our ADI | Snap One segment spans 200&amp;#43; stocking locations in 17 countries, offering a catalog of over 500,000 products from more than 1,000 manufacturers. With a global team of more than 14,000 employees, we offer the opportunity to make a real impact in a fast-growing, purpose-driven industry. Learn more at&nbsp;<a href=\"http://www.resideo.com/\" target=\"_blank\" rel=\"nofollow\">www.resideo.com</a>.</p>\n<p>At Resideo, we bring together diverse individuals to build the future of homes. Resideo is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. For more information on applicable U.S. equal employment regulations, refer to the&nbsp;<a href=\"https://www.resideo.com/us/en/-/media/Resideo/Files/Corporate/Careers/EEO%20is%20the%20Law%20poster.pdf?rv=fdc492d184344b3ea4aec0c96b321632\" target=\"_blank\" rel=\"nofollow\">\"EEO is the Law\" poster</a>,&nbsp;<a href=\"https://www.resideo.com/us/en/-/media/Resideo/Files/Corporate/Careers/EEO%20is%20the%20Law%20Supplement%20Poster.pdf?rv=ebe367cad846443e8fa5aa86062813b6\" target=\"_blank\" rel=\"nofollow\">\"EEO is the Law\" Supplement Poster&nbsp;</a>and the&nbsp;<a href=\"https://www.resideo.com/us/en/-/media/Resideo/Files/Corporate/Careers/Pay%20Transparency%20Nondiscrimination%20Provision.pdf?rv=11a9cf6533ba426296b137d906b0ce01\" target=\"_blank\" rel=\"nofollow\">Pay Transparency Nondiscrimination Provision</a>. Resideo complies with applicable equal employment laws in all countries where we do business. For more information on how we process your information in the job application process, please refer to&nbsp;<a href=\"https://www.resideo.com/us/en/-/media/Resideo/Files/Corporate/Resideo%20%20-%20Recruitment%20Privacy%20Notice.pdf?rv=6d871e71bfa24982b181c92fda232b7a\" target=\"_blank\" rel=\"nofollow\">Recruitment Privacy Notice</a>. If you require a reasonable accommodation to apply for a job, please use&nbsp;<a href=\"mailto:[email protected]?subject=Contact%20Us%20Form%20%E2%80%93%20Job%20Application%20Assistance&amp;body=This%20mailbox%20is%20intended%20only%20for%20assistance%20applying.%20%20We%20require%20candidates%20apply%20through%20our%20website.%20%20Please%20visit%20www.resideo.com/careers%20to%20find%20positions%20matching%20your%20interests%20and%20experience%20to%20apply%20for.%20%20Resumes%20sent%20to%20this%20mailbox%20will%20not%20be%20accepted.%0D%0APlease%20describe%20reasonable%20accommodation%20needed%20or%20issues%20you%20are%20having%20with%20your%20application%20below.%20%20Including%20job%20requisition%20number,%20title%20and%20location%20will%20aid%20us%20in%20assisting%20you.\" target=\"_blank\" rel=\"nofollow\">Contact Us&nbsp;</a>form for assistance.</p>",
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