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Senior Data Architect 4
<p style="border:none;padding:0cm;"><strong><span style="font-size:13pt;font-family:Arial, sans-serif;color:#1f4e79;">. Senior Data Architect - ERP Modernization (DOE/LANL)</span></strong></p> <p><strong><span style="font-family:Arial, sans-serif;color:#000000;">Location: </span></strong><span style="font-family:Arial, sans-serif;color:#595959;">Remote</span><span style="font-family:Arial, sans-serif;"> <strong><span style="color:#000000;">Compensation: </span></strong><span style="color:#595959;">$104-$107/hr</span></span></p> <p><strong><span style="font-family:Arial, sans-serif;color:#000000;">Schedule: </span></strong><span style="font-family:Arial, sans-serif;color:#595959;">9/80s</span><span style="font-family:Arial, sans-serif;"> <strong><span style="color:#000000;">Citizenship: </span></strong><span style="color:#595959;">U.S. Citizenship Required</span></span></p> <p><strong><span style="font-family:Arial, sans-serif;color:#000000;">Clearance: </span></strong><span style="font-family:Arial, sans-serif;color:#595959;">Q Clearance (ability to obtain; not required to start)</span></p> <p style="border:none;padding:0cm;"><strong><span style="font-size:11pt;font-family:Arial, sans-serif;color:#1f4e79;">WHY THIS ROLE</span></strong></p> <p><span style="font-family:Arial, sans-serif;color:#000000;">Los Alamos National Laboratory has selected SAP as its next-generation Cloud ERP, and this role sits at the center of that transformation. As Senior Data Architect within LANL's ADS-BADS organization, you will own the architectural vision for modernizing LANL's enterprise data environment - defining strategy, leading large-scale migrations, designing cloud-native platforms on Databricks and SAP infrastructure, and presenting directly to executive leadership. At $104-$107/hr fully remote, this is an opportunity to do consequential data architecture work alongside world-class scientists and engineers.</span></p> <p style="border:none;padding:0cm;"><strong><span style="font-size:11pt;font-family:Arial, sans-serif;color:#1f4e79;">KEY RESPONSIBILITIES</span></strong></p> <p><strong><span style="font-family:Arial, sans-serif;color:#000000;">Enterprise Data Architecture</span></strong></p> <ul> <li><span style="font-family:Arial, sans-serif;color:#000000;">Define enterprise data strategy, standards, and architectural blueprints</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Lead migration of legacy data environments to cloud-native platforms</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Design and implement large-scale data warehouses and data architectures</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Partner with SAP integrators, ERP planners, and institutional SMEs</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Ensure data integrity, security, governance, and accessibility</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Present architectural strategies and decisions to executive stakeholders</span></li> </ul> <p><strong><span style="font-family:Arial, sans-serif;color:#000000;">Databricks Platform Architecture</span></strong></p> <ul> <li><span style="font-family:Arial, sans-serif;color:#000000;">Advise on Databricks reference architecture covering Lakeflow, Delta Lake, Unity Catalog, Mosaic AI, Databricks SQL, and Databricks Apps</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Guide platform migrations from legacy SQL and document stores onto Databricks</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Recommend security and governance-as-code: Unity Catalog ABAC, governed tags, row filters, column masks, encryption, and compliance security profiles</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Advise on tiered data pool architectures aligned to LANL's data classification policy and regulatory requirements</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Recommend FinOps standards, workload and cost management</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Mentor data engineers, analysts, and AI/ML teams; contribute to architecture reviews and enterprise standards</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Evaluate emerging Databricks capabilities and recommend adoption strategies</span></li> </ul> <p style="border:none;padding:0cm;"><strong><span style="font-size:11pt;font-family:Arial, sans-serif;color:#1f4e79;">REQUIRED QUALIFICATIONS</span></strong></p> <ul> <li><span style="font-family:Arial, sans-serif;color:#000000;">15+ years of progressive experience in data architecture and modernization</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">7+ years designing and operating Databricks workloads with medallion layer architecture</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Hands-on experience with Delta Lake, Unity Catalog, Spark Structured Streaming, Lakeflow, Databricks SQL, MLflow, and Mosaic AI Model Serving</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Proven experience migrating enterprise data workloads from on-premises to Databricks</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Production streaming and CDC experience</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Depth in Unity Catalog ABAC governance, classification, encryption, and compliance-to-control translation</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Experience with Snowflake, Databricks, or SAP data platforms (S/4HANA, Datasphere, etc.)</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Strong Python, SQL, Spark; cloud platform depth (AWS, Azure, or GCP)</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Demonstrated ability to lead technical teams and present to executive stakeholders</span></li> </ul> <p style="border:none;padding:0cm;"><strong><span style="font-size:11pt;font-family:Arial, sans-serif;color:#1f4e79;">DESIRED QUALIFICATIONS</span></strong></p> <ul> <li><span style="font-family:Arial, sans-serif;color:#000000;">Active Databricks certifications</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Experience with SAP BDC/Datasphere and Databricks integration with zero-copy patterns</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">SAP Business Technology Platform (BTP) or SAP Integration Suite experience</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">GenAI and agent systems on Databricks</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">CI/CD and Infrastructure-as-Code (Terraform) for data platforms</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Experience in regulated industries (government, utilities, life sciences) and related frameworks (FedRAMP, ITAR, HIPAA, GxP, etc.)</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">Master's degree in Computer Science, Information Systems, or related field</span></li> <li><span style="font-family:Arial, sans-serif;color:#000000;">ERP certifications (SAP, Oracle, Workday, etc.)</span></li> </ul> <p style="border:none;padding:0cm;"><strong><span style="font-size:11pt;font-family:Arial, sans-serif;color:#1f4e79;">MANDATORY REQUIREMENTS - READ BEFORE APPLYING</span></strong></p> <ul> <li><strong><span style="font-family:Arial, sans-serif;color:#c00000;">Must be a U.S. Citizen - required for Q Clearance eligibility, no exceptions</span></strong></li> <li><strong><span style="font-family:Arial, sans-serif;color:#c00000;">Must have 15+ years of progressive data architecture experience</span></strong></li> <li><strong><span style="font-family:Arial, sans-serif;color:#c00000;">Must have 7+ years of hands-on Databricks experience with medallion layer architecture</span></strong></li> <li><strong><span style="font-family:Arial, sans-serif;color:#c00000;">Must have experience with Snowflake, Databricks, or SAP data platforms</span></strong></li> </ul>