| Location | South Jordan, UT |
Databricks Solutions Architect
Job Summary
The Databricks Solutions Architect sets the technical direction for lakehouse programs and stays accountable for the design through go live. This person translates business objectives into a platform architecture that covers workspace topology, data layout, governance, compute strategy, security posture, and integration with the wider enterprise estate. The role is equally comfortable in an executive briefing and in a design review with engineers.
Key Responsibilities
Define current state and target state Databricks architecture across one or more cloud environments
Design workspace, catalog, and compute topology aligned to organizational, security, and cost boundaries
Establish medallion architecture standards and set the patterns teams follow for ingestion, transformation, and serving
Lead architecture and design review sessions with client engineering, security, and enterprise architecture stakeholders
Evaluate build versus buy decisions across ingestion tooling, orchestration, catalog, and BI layers
Produce reference architectures, decision records, and runbooks that outlive the engagement
Set guardrails for cost, performance, and reliability, and review implementation work against them
Advise on migration sequencing and risk when legacy platforms are being retired
Required Skills
8+ years in data architecture, data engineering, or platform engineering, with 3+ years designing on Databricks
Deep understanding of the lakehouse architecture, Delta Lake, and Unity Catalog
Strong command of Apache Spark, including partitioning, shuffle behavior, and job tuning
Architecture experience across at least one major cloud, including networking, identity, and storage services
Experience designing for security and compliance requirements such as row and column level controls, encryption, and audit
Ability to lead technical discovery and produce clear written architecture deliverables
Comfort presenting to and influencing senior technical and business stakeholders
Preferred Skills
Databricks Certified Data Engineer Professional or Databricks Certified Solutions Architect Champion
Experience with Lakeflow, Delta Live Tables, Databricks Asset Bundles, and Databricks SQL warehouses
Prior migration work from Hadoop, Teradata, Snowflake, Synapse, or on premise Oracle
Familiarity with data mesh or domain oriented ownership models
Experience embedding AI and ML workloads into an enterprise data platform
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