. 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