SOLUTIONS ARCHITECT 4 - 3240 - LANL - Los Alamos, NM

OLH, Inc

$120K — $150K *
Information Technology
15+ years of experience
Job Overview by Ladders

Qualifications

  • Master's degree and 20 years of experience in designing and operating Databricks workloads with medallion layer architecture.
  • Extensive hands-on experience with key Databricks tools, including Delta Lake, Unity Catalog, and MLflow.
  • Strong cloud architecture experience, particularly with VPC/VNet, Security, and storage solutions like S3/ADLS.
  • Proven track record of migrating enterprise data from legacy systems to Databricks environments.
  • Expertise in security and governance protocols including Unity Catalog policies and access auditing.
  • Strong programming skills in Python, SQL, and Spark.

Responsibilities

  • Advise on Databricks architecture, focusing on its various components like Delta Lake and Unity Catalog.
  • Provide hands-on design guidance for full-stack Databricks solutions.
  • Recommend design strategies for secure and compliant data movement.
  • Guide migrations from legacy systems to modern Databricks solutions.
  • Mentor teams on architecture standards and practices in data management.
  • Evaluate and integrate emerging Databricks capabilities into the existing architecture.
  • Collaborate with cybersecurity teams to ensure compliance with applicable policies.

Benefits

  • Opportunities for professional development and mentorship.
  • Engagement with cutting-edge technology and tools.
  • Collaboration with cross-functional teams.
  • Flexible work environment with potential remote work options.
Full Job Description
SOLUTIONS ARCHITECT 4 - 3240 - LANL - Los Alamos, NM
One (1) Position Available
US Citizenship Required


DUTIES / RESPONSIBILITIES:
Advise on the Databricks reference architecture covering Lakeflow, Delta Lake, Unity Catalog Mosaic AI, Databricks SQL, and Databricks Apps.
Provide hands-on guidance on Databricks full-stack solution design.
Advise on design of both data movement (e.g. batch, real-time streaming) and zero-copy patterns.
Guide platform migrations from legacy SQL and document stores onto Databricks and related cloud data platforms.
Recommend security, governance, and compliance-as-code: Unity Catalog ABAC, governed tags, row filters/column masks, key management, networking security and compliance security profiles.
Advise on design of segregated/tiered data pool architectures aligned to the organization's data classification policy and applicable regulatory requirements, including cross-tier data movement.
Recommend FinOps and performance standards, workload and cost management.
Mentor data engineers, analysts, and AI/ML teams participate in architecture reviews and contribute to standards.
Work with information & cyber security, and other teams as needed for compliance to policies and standards.
Evaluate emerging Databricks capabilities and recommend adoption strategies, including endpoint integrations with third parties as they evolve.

REQUIRED QUALIFICATIONS- EDUCATION & EXPERIENCE:

Education:
MS, 20 years designing, building, and operating Databricks workloads with medallion layer architecture.

Experience:
Hands-on experience with Delta Lake, Unity Catalog,, Spark Structured Streaming, Lakeflow (or DLT/Live Tables), Databricks SQL, MLflow, and Mosaic AI Model Serving.
Strong experience in cloud architecture supporting the platform (VPC/VNet, Security, S3/ADLS, KMS, etc.)
Proven experience migrating enterprise data workloads from legacy/on prem data warehouse/lake to Databricks.
Production streaming and CDC experience.
Depth in security and governance: Unity Catalog policies (ABAC), classification, encryption, access auditing, compliance-to-control translation.
Hands-on experience designing multi-tier Databricks architectures driven by data classification requirements.
Strong Python and SQL, Spark, Notebooks.
Excellent verbal and written communication skills

PREFERRED QUALIFICATIONS:
Active Databricks certifications.
GenAI and agent systems on Databricks experience.
Delta Sharing and Databricks Clean Rooms for controlled, governed data exchange across organizational/cross-tier/system boundaries.
Familiarity with Oracle EBS and SAP enterprise data.
Experience with SAP BDC/DataSphere and Databricks integration to SAP BDC, with zero-copy patterns.
Lakeflow Designer, Databricks Apps, Genie, Databricks One
CI/CD, Infrastructure-as-Code (e.g. Terraform) for data platforms.
Experience in designing, building, and supporting BI reporting layers.
Data Quality and Data Governance experience.
Prior experience in regulated industries (e.g. utilities, life sciences, government services) and exposure to related frameworks (e.g. FERC/NERC, HIPAA, GxP, GDPR, FedRAMP, ITAR, etc.)

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