Databricks Architect
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Job Summary
Owning the target-state architecture for enterprise Lakehouse platforms, the full-time Databricks Architect will lead architecture assessments, define data modeling standards, and mentor engineering teams while working remotely in the United States.
Key responsibilities
- Own the target-state Lakehouse architecture, 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 hold engineering teams accountable across concurrent workstreams
Required qualifications
- 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
- Deep experience migrating legacy data warehouses or ETL estates to a modern cloud platform
- 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
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