. 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
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Define enterprise data strategy, standards, and architectural blueprints
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Lead migration of legacy data environments to cloud-native platforms
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Design and implement large-scale data warehouses and data architectures
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Partner with SAP integrators, ERP planners, and institutional SMEs
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Ensure data integrity, security, governance, and accessibility
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Present architectural strategies and decisions to executive stakeholders
Databricks Platform Architecture
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Advise on Databricks reference architecture covering Lakeflow, Delta Lake, Unity Catalog, Mosaic AI, Databricks SQL, and Databricks Apps
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Guide platform migrations from legacy SQL and document stores onto Databricks
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Recommend security and governance-as-code: Unity Catalog ABAC, governed tags, row filters, column masks, encryption, and compliance security profiles
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Advise on tiered data pool architectures aligned to LANL's data classification policy and regulatory requirements
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Recommend FinOps standards, workload and cost management
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Mentor data engineers, analysts, and AI/ML teams; contribute to architecture reviews and enterprise standards
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Evaluate emerging Databricks capabilities and recommend adoption strategies
REQUIRED QUALIFICATIONS
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15+ years of progressive experience in data architecture and modernization
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7+ years designing and operating Databricks workloads with medallion layer architecture
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Hands-on experience with Delta Lake, Unity Catalog, Spark Structured Streaming, Lakeflow, Databricks SQL, MLflow, and Mosaic AI Model Serving
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Proven experience migrating enterprise data workloads from on-premises to Databricks
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Production streaming and CDC experience
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Depth in Unity Catalog ABAC governance, classification, encryption, and compliance-to-control translation
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Experience with Snowflake, Databricks, or SAP data platforms (S/4HANA, Datasphere, etc.)
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Strong Python, SQL, Spark; cloud platform depth (AWS, Azure, or GCP)
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Demonstrated ability to lead technical teams and present to executive stakeholders
DESIRED QUALIFICATIONS
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Active Databricks certifications
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Experience with SAP BDC/Datasphere and Databricks integration with zero-copy patterns
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SAP Business Technology Platform (BTP) or SAP Integration Suite experience
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GenAI and agent systems on Databricks
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CI/CD and Infrastructure-as-Code (Terraform) for data platforms
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Experience in regulated industries (government, utilities, life sciences) and related frameworks (FedRAMP, ITAR, HIPAA, GxP, etc.)
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Master's degree in Computer Science, Information Systems, or related field
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ERP certifications (SAP, Oracle, Workday, etc.)
MANDATORY REQUIREMENTS - READ BEFORE APPLYING
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Must be a U.S. Citizen - required for Q Clearance eligibility, no exceptions
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Must have 15+ years of progressive data architecture experience
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Must have 7+ years of hands-on Databricks experience with medallion layer architecture
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Must have experience with Snowflake, Databricks, or SAP data platforms
