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Senior Systems Engineer
Iawmqy Fa Ocs Oraclecloud Com CX 1001 · Annapolis, MD, United States; Remote - Maryland, County-All Other, United States, Remote, MD, US · Remote · Active · $204,850 / year · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Iawmqy Fa Ocs Oraclecloud Com CX 1001 |
| Title | Senior Systems Engineer |
| Normalized title | - |
| Department / team | Systems Engineering |
| Location | Annapolis, MD, United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | $204,850 / year |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-06-04 / 2026-06-02 |
| Changed / last seen | 2026-06-06 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Iawmqy Fa Ocs Oraclecloud Com CX 1001. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Annapolis. | Open |
| Department jobs | Active postings in Systems Engineering. | Open |
| Work model jobs | Active Remote 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 | Iawmqy Fa Ocs Oraclecloud Com CX 1001 |
| Source | 45be1193-a323-4cf4-aeae-57901db3633b |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
Senior Systems Engineer, Data Management
Our field sales professionals rely on proactive technical support during the sales process – and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need.
Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the East Region of the US.
What you’ll achieve
As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services.
You will:
•Build and lead relationships for highly sophisticated customer accounts
•Conduct customer needs analysis and anticipate requirements beyond existing solution’s scope
•Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities
•Verify operability of sophisticated product and service configurations within the customer’s environment
• Perform advanced systems integration and provide technical expertise to design and implement the solution
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Technical Skills
· Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar).
· Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs).
· Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats
· Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering).
· Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns.
· Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns.
· Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA).
· Analytics, BI, and data science
· Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models.
· Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics.
· Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level).
Consulting Skills
· Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers.
· Can translate ambiguous business problems into clear data and analytics use cases.
· Storytelling & communication
· Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences.
· Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics).
· Demo & POC excellence
· Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features.
· Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win.
· Competitive positioning
· Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools.
5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure.
Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas:
· Cloud data warehouse or lakehouse migrations
· Enterprise BI modernization/self-service analytics
· GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications
· Real-time or streaming analytics
· Advanced analytics / data science enablement
· Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse).
Compensation
Dell is committed to fair and equitable compensation practices. The Total Target Compensation (TTC) range for this position is $204,850 - 265,100 which includes base salary and potential commissions.
Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com
Full job record
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| Board ID | 45be1193-a323-4cf4-aeae-57901db3633b |
| Provider | oracle_hcm |
| Provider Job Key | 292857 |
| Title | Senior Systems Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Annapolis, MD, United States; Remote - Maryland, County-All Other, United States, Remote, MD, US |
| Department | Systems Engineering |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | MD |
| City | Annapolis |
| Salary Raw | Compensation (TTC) range for this position is $204,850 - 265,100 which includes base salary and potential commissions |
| Salary Min | 204,850 |
| Salary Max | — |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://iawmqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/careers/job/292857 |
| Apply URL | https://iawmqy.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/careers/job/292857 |
| First Seen At | 2026-06-02 11:42:52Z |
| Last Seen At | 2026-06-06 20:05:20Z |
| Last Checked At | 2026-06-06 20:05:20Z |
| Last Changed At | 2026-06-06 11:27:51Z |
| Inactive At | — |
| Source Posted At | 2026-06-04 19:21:42Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=iawmqy.fa.ocs.oraclecloud.com|CX_1001/date=2026-06-06/2026-06-06T20-05-03-476Z-7cff60a9300a4af11dde3b18f0de40274c13ecd1f4e5cd0b2392bd73b3487107.json |
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From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need.</p><p> </p><p>Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in <strong>the East Region of the US.</strong></p><p><br><strong>What you’ll achieve</strong><br>As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services.<br><br><strong>You will:</strong><br>•Build and lead relationships for highly sophisticated customer accounts<br>•Conduct customer needs analysis and anticipate requirements beyond existing solution’s scope<br>•Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities<br>•Verify operability of sophisticated product and service configurations within the customer’s environment<br>• Perform advanced systems integration and provide technical expertise to design and implement the solution<br><br><strong>Take the first step towards your dream career</strong><br>Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:<br> </p><p><strong>Technical Skills</strong></p><p>· Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar).</p><p>· Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs).</p><p>· Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats</p><p>· Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering).</p><p>· Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns.</p><p>· Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns.</p><p>· Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA).</p><p>· Analytics, BI, and data science</p><p>· Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models.</p><p>· Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics.</p><p>· Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level).</p><p> </p><p><strong>Consulting Skills</strong></p><p>· Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers.</p><p>· Can translate ambiguous business problems into clear data and analytics use cases.</p><p>· Storytelling & communication</p><p>· Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences.</p><p>· Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics).</p><p>· Demo & POC excellence</p><p>· Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features.</p><p>· Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win.</p><p>· Competitive positioning</p><p>· Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools.</p><p> </p><p><strong>5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure.</strong></p><p> </p><p><strong>Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas:</strong></p><p>· Cloud data warehouse or lakehouse migrations</p><p>· Enterprise BI modernization/self-service analytics</p><p>· GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications</p><p>· Real-time or streaming analytics</p><p>· Advanced analytics / data science enablement</p><p>· Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse).</p><p> </p><p data-pm-slice=\"1 1 []\"><strong>Compensation</strong><br>Dell is committed to fair and equitable compensation practices. 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