Databricks Architect (Remote, US)

Overview

Own the target-state architecture for enterprise Databricks Lakehouse platforms, serving as the most senior technical voice on customer engagements, often working alongside Databricks field teams.

What you'll do

• Own the target-state Lakehouse architecture on enterprise engagements, including ingestion, storage, transformation, serving, and governance layers
• Lead architecture assessments of legacy estates and produce migration paths with sequencing, risk, and effort
• Define data modeling standards and Medallion layer conventions, and hold engineering teams to them across concurrent workstreams
• Set the Unity Catalog governance model: catalogs, schemas, access patterns, lineage, and audit posture
• Make and document platform trade-offs (compute sizing, storage format, streaming versus batch, build versus buy) with cost and performance reasoning a customer can take to their CFO
• Provide technical input into scoping and effort estimation on new engagements, including pre-sales discovery and proof-of-concept design
• Mentor senior engineers, review designs, and raise the architectural bar across the practice
• Produce reference architectures, diagrams, and internal accelerators that make the next engagement faster

What you'll need

• 8+ years in data engineering/architecture or analytics platform development
• Demonstrated ownership of end-to-end architecture for at least two enterprise-scale data platforms, from design through production
• Deep experience migrating legacy data warehouses or ETL estates to a modern cloud platform (Teradata, Informatica, Hadoop, Netezza, or equivalent)
• Strong proficiency in Python and SQL; working knowledge of Apache Spark and distributed processing fundamentals
• Experience with data modeling across dimensional, normalized, and Lakehouse patterns, and the judgment to know when each applies
• Experience with CI/CD and DevOps practices for data platform deployment

Nice to have

• Healthcare or life sciences experience
• Databricks Certified Data Engineer Professional or a Platform Architect certification
• Hands-on Databricks experience at scale: Unity Catalog, Delta Lake, Lakeflow, Asset Bundles
• Experience with MLOps or productionizing machine learning workloads
• Prior professional services, consulting, or customer-facing architecture background
• Experience contributing to pre-sales scoping or technical proposals

Details

• Remote, United States
• Work from home 3 days per week