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. Senior Data Architect - ERP Modernization (DOE/LANL)

Location: Remote Compensation: $104-$107/hr

Schedule: 9/80s Citizenship: U.S. Citizenship Required

Clearance: Q Clearance (ability to obtain; not required to start)

WHY THIS ROLE

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.

KEY RESPONSIBILITIES

Enterprise Data Architecture

• Define enterprise data strategy, standards, and architectural blueprints
• Lead migration of legacy data environments to cloud-native platforms
• Design and implement large-scale data warehouses and data architectures
• Partner with SAP integrators, ERP planners, and institutional SMEs
• Ensure data integrity, security, governance, and accessibility
• Present architectural strategies and decisions to executive stakeholders

Databricks Platform Architecture

• Advise on Databricks reference architecture covering Lakeflow, Delta Lake, Unity Catalog, Mosaic AI, Databricks SQL, and Databricks Apps
• Guide platform migrations from legacy SQL and document stores onto Databricks
• Recommend security and governance-as-code: Unity Catalog ABAC, governed tags, row filters, column masks, encryption, and compliance security profiles
• Advise on tiered data pool architectures aligned to LANL's data classification policy and regulatory requirements
• Recommend FinOps standards, workload and cost management
• Mentor data engineers, analysts, and AI/ML teams; contribute to architecture reviews and enterprise standards
• Evaluate emerging Databricks capabilities and recommend adoption strategies

REQUIRED QUALIFICATIONS

• 15+ years of progressive experience in data architecture and modernization
• 7+ years designing and operating Databricks workloads with medallion layer architecture
• Hands-on experience with Delta Lake, Unity Catalog, Spark Structured Streaming, Lakeflow, Databricks SQL, MLflow, and Mosaic AI Model Serving
• Proven experience migrating enterprise data workloads from on-premises to Databricks
• Production streaming and CDC experience
• Depth in Unity Catalog ABAC governance, classification, encryption, and compliance-to-control translation
• Experience with Snowflake, Databricks, or SAP data platforms (S/4HANA, Datasphere, etc.)
• Strong Python, SQL, Spark; cloud platform depth (AWS, Azure, or GCP)
• Demonstrated ability to lead technical teams and present to executive stakeholders

DESIRED QUALIFICATIONS

• Active Databricks certifications
• Experience with SAP BDC/Datasphere and Databricks integration with zero-copy patterns
• SAP Business Technology Platform (BTP) or SAP Integration Suite experience
• GenAI and agent systems on Databricks
• CI/CD and Infrastructure-as-Code (Terraform) for data platforms
• Experience in regulated industries (government, utilities, life sciences) and related frameworks (FedRAMP, ITAR, HIPAA, GxP, etc.)
• Master's degree in Computer Science, Information Systems, or related field
• ERP certifications (SAP, Oracle, Workday, etc.)

MANDATORY REQUIREMENTS - READ BEFORE APPLYING

• Must be a U.S. Citizen - required for Q Clearance eligibility, no exceptions
• Must have 15+ years of progressive data architecture experience
• Must have 7+ years of hands-on Databricks experience with medallion layer architecture
• Must have experience with Snowflake, Databricks, or SAP data platforms