Home › Companies › Hatchit › Head of Data, Platform and Intelligence
Head of Data, Platform and Intelligence
Hatchit · Reston, VA OR Somerville, MA · Hybrid · Deleted · $220,000–$250,000 / year · Lever
Job facts
| Field | Value |
|---|---|
| Company | Hatchit |
| Title | Head of Data, Platform and Intelligence |
| Normalized title | - |
| Department / team | Featured Hatch Accounts / Babel Street |
| Location | Reston, VA, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time |
| Salary | $220,000–$250,000 / year |
| Status | deleted |
| ATS provider | Lever |
| Posted / first seen | 2026-04-24 / 2026-05-29 |
| Changed / last seen | 2026-06-06 / 2026-06-03 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Hatchit. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Reston. | Open |
| Department jobs | Active postings in Featured Hatch Accounts. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Hatchit |
| Source | e2ea7802-e924-462c-bda6-32def5821788 |
| ATS provider | Lever |
Description
hatch I.T. is partnering with Babel Street to find a Head of Data. Please see details below:
About the Role
As Head of Data you will define and lead Babel Street’s North Star Data Strategy and Architecture, building a cohesive, scalable, and AI-native data platform that transforms fragmented systems into a unified foundation for intelligence, analytics, and product innovation.
You will own the full lifecycle of data across the organization, from ingestion and storage to semantics, retrieval, and productization. Your mandate is to unify fragmented systems into a cohesive, scalable, and AI-ready data platform that directly enables investigative, analytical, and operational workflows across Babel Street’s product suite.
You will work closely with Product and Engineering leadership, to ensure that data is not just infrastructure, but a core competitive advantage. This includes powering Babel Street’s Knowledge Graph, enabling agentic and generative AI systems, and delivering data capabilities that are reliable, performant, and economically efficient at scale.
This role requires deep technical expertise, strong architectural judgment, and the ability to translate complex data challenges into customer-impacting intelligence capabilities.
This hybrid role will be based in their Reston, VA or Somerville, MA office.
About the Company
Babel Street is the trusted technology partner for the world’s most advanced identity intelligence and risk operations. They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage. The actionable insights we deliver safeguard lives and protect critical assets around the world . Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K.
Role Span:
This role spans four integrated domains:
1. Data Platform & Storage Architecture
You will help define and evolve Babel Street’s unified data platform, consolidating warehouse, search and object storage systems into a cohesive scalable foundation. This includes establishing clear patterns for when and how to use analytical warehouses, search/index systems, and object storage to support diverse workloads across the business.
You will architect systems that operate at petabyte scale, ensuring high performance, reliability, and flexibility across batch and real-time data. A key focus will be driving platform rationalization while maintaining continuity of operations and minimizing risk.
You will also establish standards for data ingestion, transformation, and lifecycle management, ensuring consistency and efficiency across the platform.
2. Data Semantics, Knowledge Graph & Identity
You will own the semantic foundation of Babel Street’s data ecosystem, defining how data is modeled, connected, and understood across products and systems.
This includes building and evolving the company's knowledge graph, including entity resolution, identity modeling, and relationship mapping across disparate data sources. You will establish ontology and schema strategies that ensure consistent interpretation of data across teams, products, and AI systems.
Your work will enable graph-integrated reasoning and provide the structures context required for intelligence workflows and AI-driven applications.
3. Data Access, Retrieval & AI-Enablement
You will design and operate data access patterns that power both human and machine consumption of data, including API’s, query layers and retrieval systems.
This includes enabling hybrid retrieval approaches across structured, unstructured and vector-based data to support LLMs, RAG pipelines, and agentic systems. You will ensure that data is accessible in a way that is performant, scalable, and optimized for AI workloads.
You will partner closely with AI and Applied ML teams to ensure seamless integration between data systems and model-driven capabilities, enabling reliable, explainable, and efficient intelligence generation.
4. Data Productization, Governance & Economics
You will establish a data-as-a-product operating model, ensuring that data assets are discoverable, reusable, and governed with clear ownership and accountability.
This includes defining contracts, enforcing quality standards, and implementing metadata and governance frameworks that scale across the organization.
You will also own the economics of the data platform, ensure efficient use of storage and compute, and optimize cost per query, cost per workload, and overall system efficiency. A key focus will be enabling scalable AI usage through efficient data retrieval and storage strategies.
What you will do:
Define the North Star Data Architecture
Establish and evolve the target-state data architecture, aligning storage, compute, search, and access patterns into a unified platform
Drive architectural clarity across warehouse, search, object storage, and real-time systems
Ensure consistency in schemas, metadata, and governance frameworks across all data domains
Build an AI-Native Data Foundation
Design a data platform optimized for AI and agentic workloads, including:
API-first, agent-callable data services
Hybrid retrieval patterns (search + analytical + vector)
Real-time and batch data unification
Enable scalable support for LLMs, RAG pipelines, and intelligence workflows
Own Data as a Product
Establish a data-as-a-product operating model, enabling discoverable, reusable, and well-governed data assets
Define and standardize data contracts, ownership models, and domain boundaries
Translate platform capabilities into customer-facing data products and differentiators
Lead Platform Rationalization and Evolution
Rationalize and evolve the current ecosystem (e.g., BigQuery, Elasticsearch/OpenSearch, S3) into a cohesive and cost-efficient architecture
Lead phased, low-risk migrations and consolidations aligned to business priorities
Balance short-term pragmatism with long-term architectural integrity
Own Performance, Reliability, and Cost Economics
Accountable for performance, scalability, and reliability of all data systems
Establish clear unit economics for data (e.g., cost per query, cost per workload, storage efficiency)
Implement strong observability, SLOs, and incident management practices
What you will bring:
10+ years of experience in data platforms, data engineering, or distributed systems
Strong background working within multi-cloud or hybrid environments, including hands-on experience with Google Cloud Platform (GCP)
Proven experience designing and evolving large-scale data platforms through major architectural transitions (e.g., warehouse, search, Lakehouse, or multi-cloud transformations)
Deep expertise across multiple data paradigms, including:
Analytical warehouses
Search/index systems
Object storage and distributed data systems
Experience building platforms that support AI, ML, or agent-driven systems
Familiarity with vector search, retrieval architectures, and modern AI data patterns
Experience with graph-based data models, entity resolution, or knowledge graphs
Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.
Experience operating in regulated, high-stakes, or mission-critical environments is strongly preferred.
Education:
Bachelor’s degree in Computer Science, Engineering, or a related technical field required.
Master’s degree or PhD preferred.
Full job record
| Job ID | 1efeea7c51b7d379f21fef735ff10131e5fbbb75 |
| Org ID | 3883f6fa-759f-4977-ab65-05926fcbad14 |
| Source ID | e2ea7802-e924-462c-bda6-32def5821788 |
| Board ID | e2ea7802-e924-462c-bda6-32def5821788 |
| Provider | lever |
| Provider Job Key | efc335db-bb3b-48dd-932e-b8a6ff57db38 |
| Title | Head of Data, Platform and Intelligence |
| Normalized Title | — |
| Status | deleted |
| Active | no |
| Location Text | Reston, VA OR Somerville, MA |
| Department | Featured Hatch Accounts |
| Team | Babel Street |
| Employment Type | Full Time |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | VA |
| City | Reston |
| Salary Raw | USD 220000-250000 per-year-salary |
| Salary Min | 220,000 |
| Salary Max | 250,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://jobs.lever.co/hatchit/efc335db-bb3b-48dd-932e-b8a6ff57db38 |
| Apply URL | https://jobs.lever.co/hatchit/efc335db-bb3b-48dd-932e-b8a6ff57db38/apply |
| First Seen At | 2026-05-29 07:02:02Z |
| Last Seen At | 2026-06-03 12:30:33Z |
| Last Checked At | 2026-06-06 07:57:50Z |
| Last Changed At | 2026-06-06 07:57:50Z |
| Inactive At | 2026-06-06 07:57:50Z |
| Source Posted At | 2026-04-24 16:24:02Z |
| Source Updated At | — |
| Raw Payload Uri | s3://bluework-jobs-prod-raw-590183727216/raw/provider=lever/board=hatchit/date=2026-06-03/2026-06-03T12-30-32-785Z-1b7a1902bab856409ecf834741aee6ca1fe0629da4b4489ff7cdbc7981a8c499.json |
Event Fields
{
"content_hash": "19d4bb8b94ae617f5130facb15d0d048610b791e112ebe0ec36dd926c0900ae9",
"source_hash": "ea141e70127c61b6790ea00f6aa9c6bb2a1dddcaee64f45bb9d4040206c128d6",
"last_changed_at": "2026-06-06T07:57:50.444Z",
"active_status": "deleted"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "Reston, VA",
"city": "Reston",
"region": "VA",
"country": "United States",
"is_remote": false,
"confidence": 0.9
},
"salary_max": 250000,
"salary_min": 220000,
"inferred_at": "2026-06-03T12:30:33.342Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "Reston, VA",
"city": "Reston",
"region": "VA",
"country": "United States",
"is_remote": false,
"confidence": 0.9
},
"countries": [
"United States"
]
},
"remote_policy": "hybrid",
"salary_period": "year",
"workplace_type": "hybrid",
"salary_currency": "USD"
}Extensions
{}Native Structured
{
"lists": [
{
"text": "Role Span:",
"content": "<div>\n<p><span data-contrast=\"none\">This role spans four integrated domains:</span><span data-ccp-props=\"{}\"> </span></p>\n<p><strong><span data-contrast=\"none\">1. Data Platform & Storage Architecture</span></strong><span data-ccp-props=\"{}\"> </span></p>\n<p><span data-contrast=\"none\">You will help define and evolve Babel Street’s unified data platform, consolidating warehouse, search and object storage systems into a cohesive scalable foundation. This includes establishing clear patterns for when and how to use analytical warehouses, search/index systems, and object storage to support diverse workloads across the business.</span><span data-ccp-props=\"{}\"> </span></p>\n<p><span data-contrast=\"none\">You will architect systems that operate at petabyte scale, ensuring high performance, reliability, and flexibility across batch and real-time data. A key focus will be driving platform rationalization while maintaining continuity of operations and minimizing risk.</span><span data-ccp-props=\"{}\"> </span></p>\n<p><span data-contrast=\"none\">You will also establish standards for data ingestion, transformation, and lifecycle management, ensuring consistency and efficiency across the platform. </span><span data-ccp-props=\"{}\"> </span></p>\n<p><strong><span data-contrast=\"none\">2. Data Semantics, Knowledge Graph & Identity</span></strong><span data-ccp-props=\"{}\"> </span></p>\n<p><span data-contrast=\"none\">You will own the semantic foundation of Babel Street’s data ecosystem, defining how data is modeled, connected, and understood across products and systems. </span><span data-ccp-props=\"{}\"> </span></p>\n<p><span data-contrast=\"none\">This includes building and evolving the company's knowledge graph, including entity resolution, identity modeling, and relationship mapping across disparate data sources. You will establish ontology and schema strategies that ensure consistent interpretation of data across teams, products, and AI systems.</span><span data-ccp-props=\"{}\"> </span></p>\n<p><span data-contrast=\"none\">Your work will enable graph-integrated reasoning and provide the structures context required for intelligence workflows and AI-driven applications.</span><span data-ccp-props=\"{}\"> </span></p>\n<p><strong><span data-contrast=\"none\">3. Data Access, Retrieval & AI-Enablement</span></strong><span data-ccp-props=\"{}\"> </span></p>\n<p><span data-contrast=\"none\">You will design and operate data access patterns that power both human and machine consumption of data, including API’s, query layers and retrieval systems. </span><span data-ccp-props=\"{}\"> </span></p>\n<p><span data-contrast=\"none\">This includes enabling hybrid retrieval approaches across structured, unstructured and vector-based data to support LLMs, RAG pipelines, and agentic systems. You will ensure that data is accessible in a way that is performant, scalable, and optimized for AI workloads.</span><span data-ccp-props=\"{}\"> </span></p>\n<p><span data-contrast=\"none\">You will partner closely with AI and Applied ML teams to ensure seamless integration between data systems and model-driven capabilities, enabling reliable, explainable, and efficient intelligence generation.</span><span data-ccp-props=\"{}\"> </span></p>\n<p><strong><span data-contrast=\"none\">4. Data Productization, Governance & Economics</span></strong><span data-ccp-props=\"{}\"> </span></p>\n<p><span data-contrast=\"none\">You will establish a data-as-a-product operating model, ensuring that data assets are discoverable, reusable, and governed with clear ownership and accountability. </span><span data-ccp-props=\"{}\"> </span></p>\n<p><span data-contrast=\"none\">This includes defining contracts, enforcing quality standards, and implementing metadata and governance frameworks that scale across the organization.</span><span data-ccp-props=\"{}\"> </span></p>\n<p><span data-contrast=\"none\">You will also own the economics of the data platform, ensure efficient use of storage and compute, and optimize cost per query, cost per workload, and overall system efficiency. A key focus will be enabling scalable AI usage through efficient data retrieval and storage strategies.</span><span data-ccp-props=\"{}\"> </span></p>\n</div>"
},
{
"text": "What you will do:",
"content": "<div>\n<p><strong><span data-contrast=\"auto\">Define the North Star Data Architecture</span></strong><span data-ccp-props=\"{}\"> </span></p>\n\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"7\" data-list-defn-props=\"{"335552541":1,"335559685":1440,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"2\"><span data-contrast=\"auto\">Establish and evolve the target-state data architecture, aligning storage, compute, search, and access patterns into a unified platform</span></li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"7\" data-list-defn-props=\"{"335552541":1,"335559685":1440,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"2\">Drive architectural clarity across warehouse, search, object storage, and real-time systems</li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"7\" data-list-defn-props=\"{"335552541":1,"335559685":1440,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"2\">Ensure consistency in schemas, metadata, and governance frameworks across all data domains<span data-ccp-props=\"{}\"> </span></li>\n\n<p><strong><span data-contrast=\"auto\">Build an AI-Native Data Foundation</span></strong><span data-ccp-props=\"{}\"> </span></p>\n\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"7\" data-list-defn-props=\"{"335552541":1,"335559685":1440,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"2\"><span data-contrast=\"auto\">Design a data platform optimized for AI and agentic workloads, including:</span> <br><span data-contrast=\"auto\">API-first, agent-callable data services</span></li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"7\" data-list-defn-props=\"{"335552541":1,"335559685":1440,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"2\">Hybrid retrieval patterns (search + analytical + vector)</li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"7\" data-list-defn-props=\"{"335552541":1,"335559685":1440,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"2\">Real-time and batch data unification</li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"7\" data-list-defn-props=\"{"335552541":1,"335559685":1440,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"2\">Enable scalable support for LLMs, RAG pipelines, and intelligence workflows<span data-ccp-props=\"{}\"> </span></li>\n\n<p><strong><span data-contrast=\"auto\">Own Data as a Product</span></strong><span data-ccp-props=\"{}\"> </span></p>\n\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"7\" data-list-defn-props=\"{"335552541":1,"335559685":1440,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"2\"><span data-contrast=\"auto\">Establish a data-as-a-product operating model, enabling discoverable, reusable, and well-governed data assets</span></li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"7\" data-list-defn-props=\"{"335552541":1,"335559685":1440,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"2\">Define and standardize data contracts, ownership models, and domain boundaries</li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"7\" data-list-defn-props=\"{"335552541":1,"335559685":1440,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"2\">Translate platform capabilities into customer-facing data products and differentiators<span data-ccp-props=\"{}\"> </span></li>\n\n<p><strong><span data-contrast=\"auto\">Lead Platform Rationalization and Evolution</span></strong><span data-ccp-props=\"{}\"> </span></p>\n\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"7\" data-list-defn-props=\"{"335552541":1,"335559685":1440,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"2\"><span data-contrast=\"auto\">Rationalize and evolve the current ecosystem (e.g., BigQuery, Elasticsearch/OpenSearch, S3) into a cohesive and cost-efficient architecture</span></li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"7\" data-list-defn-props=\"{"335552541":1,"335559685":1440,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"2\">Lead phased, low-risk migrations and consolidations aligned to business priorities</li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"7\" data-list-defn-props=\"{"335552541":1,"335559685":1440,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"2\">Balance short-term pragmatism with long-term architectural integrity<span data-ccp-props=\"{}\"> </span></li>\n\n<p><strong><span data-contrast=\"auto\">Own Performance, Reliability, and Cost Economics</span></strong><span data-ccp-props=\"{}\"> </span></p>\n\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"7\" data-list-defn-props=\"{"335552541":1,"335559685":1440,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"2\"><span data-contrast=\"auto\">Accountable for performance, scalability, and reliability of all data systems</span></li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"7\" data-list-defn-props=\"{"335552541":1,"335559685":1440,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"2\">Establish clear unit economics for data (e.g., cost per query, cost per workload, storage efficiency)</li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"7\" data-list-defn-props=\"{"335552541":1,"335559685":1440,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"2\">Implement strong observability, SLOs, and incident management practices<span data-ccp-props=\"{}\"> </span></li>\n\n</div>"
},
{
"text": "What you will bring:",
"content": "<div>\n\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">10+ years of experience in data platforms, data engineering, or distributed systems</span></li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\">Strong background working within multi-cloud or hybrid environments, including hands-on experience with Google Cloud Platform (GCP)</li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\">Proven experience designing and evolving large-scale data platforms through major architectural transitions (e.g., warehouse, search, Lakehouse, or multi-cloud transformations)</li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\">Deep expertise across multiple data paradigms, including:</li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\">Analytical warehouses</li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\">Search/index systems</li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\">Object storage and distributed data systems</li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\">Experience building platforms that support AI, ML, or agent-driven systems</li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\">Familiarity with vector search, retrieval architectures, and modern AI data patterns</li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\">Experience with graph-based data models, entity resolution, or knowledge graphs</li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\">Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.</li>\n<li data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"5\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"multilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\">Experience operating in regulated, high-stakes, or mission-critical environments is strongly preferred.<span data-ccp-props=\"{}\"> </span></li>\n\n<p><strong>Education:</strong></p>\n\n<li><span data-contrast=\"auto\">Bachelor’s degree in Computer Science, Engineering, or a related technical field required.</span> <br><span data-contrast=\"auto\">Master’s degree or PhD preferred.</span><span data-ccp-props=\"{}\"> </span></li>\n\n</div>"
}
],
"country": "US",
"createdAt": 1777047842282,
"updatedAt": null,
"categories": {
"team": "Babel Street",
"location": "Reston, VA OR Somerville, MA",
"commitment": "Full Time",
"department": "Featured Hatch Accounts",
"allLocations": [
"Reston, VA OR Somerville, MA"
]
},
"salaryRange": {
"max": 250000,
"min": 220000,
"currency": "USD",
"interval": "per-year-salary"
},
"workplaceType": "hybrid"
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/1efeea7c51b7d379f21fef735ff10131e5fbbb75?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/3883f6fa-759f-4977-ab65-05926fcbad14JSONGET https://api.bluedoor.sh/job-postings/v1/sources/e2ea7802-e924-462c-bda6-32def5821788JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/1efeea7c51b7d379f21fef735ff10131e5fbbb75/eventsJSON