Related skills
devsecops azure databricks ci/cd apache spark📋 Description
- Lead and mentor a high-performing data engineering team with collaboration and innovation
- Architect and manage data warehouse/lakehouse on Databricks and Azure with security
- Evaluate and deploy AI/ML within Databricks/Azure to accelerate analytics
- Implement DevSecOps across the data engineering lifecycle with security and automation
- Develop and manage CI/CD pipelines for data workflows
- Drive automation across ingestion, transformation, and data quality
🎯 Requirements
- Bachelors or masters in computer science, information systems, data engineering, or related field
- Seven+ years in data engineering/warehouse, incl. 3+ years in technical leadership
- Two years of supervisory experience mentoring and developing team members
- Deep expertise in Databricks: Delta Lake, Apache Spark, MLflow
- Hands-on Azure analytics infra: Data Factory, Azure SQL, Storage
- DevSecOps, secure data operations, governance in regulated industries (healthcare preferred)
🎁 Benefits
- Medical insurance (Medical, Dental, Vision)
- PTO/holidays/sick days: 17 personal days off, 12 holidays, 6 sick days
- 401K savings + match
- Compensation package including base pay and bonus
- Additional benefits
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