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Design and maintain Databricks DDL models: Define normalized schemas, SCDs, and surrogate keys Performance engineering: Implement partitioning/ZORDER/OPTIMIZE, constraints, caching; reduce shuffle/skew. Medallion architecture: Engineer bronze/silver/gold transformations with reproducible pipelines. Data quality and reconciliation: Evaluate and make recommendations on har...
About the Role
Job Title: Lead Data Domain Architect - Finance Data and Insights
Position Overview: We are looking for an Engineer and optimize Databricks DDL models that power FORCE analytics, ML, NLP, LLM, and dashboards. Enforce modeling standards, validation/reconciliation controls, and audit ready documentation. Drive effective collaboration and tie delivery to measurable OKRs.
As an Analytics Solution Associate within our analytics team, you will design and maintain Databricks DDL models and promote performance engineering across our data platforms.
Job Responsibilities:
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