Senior Databricks Data Engineer
$150k - $225kLanding Point
Company Overview: A leading investment firm with over $185 billion in assets under management is seeking a Senior Databricks Data Engineer to join their team. The role involves building an enterprise-grade data platform on Azure Databricks to support the firm's dynamic business operations. Job Responsibilities: Build and evolve an internal Azure Databricks Lakehouse platform using Delta Lake and standardized architectural patterns. Develop scalable ingestion and transformation frameworks for multiple source systems. Implement curated, trusted datasets and “data products” with clear contracts. Operationalize pipelines using Databricks Workflows (Jobs). Own performance and cost optimization across workloads. Implement and administer governance and security with Unity Catalog. Establish engineering standards for the platform. Partner with stakeholders to align platform roadmap, priorities, and adoption. Provide technical leadership across the team. Qualifications: 8+ years of data engineering experience, including 3+ years with Azure Databricks. Strong proficiency in Python (PySpark) and Spark SQL. Strong experience with Delta Lake. Experience productionizing workloads with Databricks Workflows (Jobs). Strong Azure fundamentals relevant to a data platform. Knowledge of data architecture and platform concerns. Demonstrated ability to work cross-functionally and communicate technical decisions. Demonstrated technical leadership and mentoring experience. Databricks Certified Data Engineer Professional certification preferred. Experience with CI/CD for Databricks assets and familiarity with Terraform preferred. Experience with streaming or near-real-time ingestion and/or Delta Live Tables preferred. Familiarity with Databricks SQL and serving data to BI tools is preferred. Private equity, credit, or Alternative Asset Management industry experience preferred. Compensation: Salary: $150,000 – $225,000, Plus Bonus #J-18808-Ljbffr Landing Point
Vacancy posted 4 days ago
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