Solutions Architect 4

Spectra Tech, Inc.; Los Alamos (NM); On-site; USD 130,000 - 160,000; Full time

Job summary

Spectra Tech, Inc. is seeking a Solutions Architect 4 to join their team in Los Alamos, NM. In this role, you will advise on the Databricks reference architecture, providing hands-on guidance in full-stack solution design while mentoring data teams.

Ideal candidates will have 20 years of experience with Databricks workloads and possess strong skills in cloud architecture, data governance, and Databricks tools including Delta Lake and Unity Catalog. This position offers a unique opportunity to work in a leading-edge technology environment.

Qualifications

• 20 years designing, building, and operating Databricks workloads with medallion layer architecture.
• Hands-on experience with Delta Lake, Unity Catalog, Spark Structured Streaming.
• Strong experience in cloud architecture supporting the platform (VPC/VNet, Security, S3/ADLS, KMS).

Responsibilities

• Advise on Databricks reference architecture and solutions.
• Provide hands-on guidance on full-stack solution design.
• Mentor data engineers, analysts, and AI/ML teams.

Skills

Databricks workloads design

Delta Lake

Unity Catalog

Cloud architecture

Python

SQL

Data governance

Education

MS degree

Tools

Databricks SQL

Spark Structured Streaming

Job description

Spectra Tech is seeking a Solutions Architect 4 for Los Alamos, NM.

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

• MS, 20 years designing, building, and operating Databricks workloads with medallion layer architecture
• 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

Nice to Have

• 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, 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.)