Databricks Engineering Manager

Role Summary

We are seeking an experienced Data Engineering Manager with strong Databricks and modern cloud data engineering expertise to lead the design, development and operation of scalable enterprise data solutions. The role combines technical leadership, people management, architecture oversight and delivery accountability. The successful candidate will establish engineering standards, reusable frameworks and robust practices for secure, governed, reliable and cost-efficient Lakehouse solutions.

Key Responsibilities

• Lead, mentor and support a team of data engineers, setting technical direction and encouraging engineering best practices.
• Design, build and operate scalable data pipelines and Lakehouse solutions using Databricks, Apache Spark, Delta Lake, SQL, Python and cloud-native services.
• Define standards for ingestion, transformation, orchestration, automated testing, deployment, observability, monitoring and production support.
• Collaborate with business, analytics, data science, architecture, security and platform teams to translate requirements into high-quality data solutions.
• Champion reusable and metadata-driven frameworks, automation, Medallion Architecture patterns and modern data engineering practices.
• Embed data quality, security, governance, privacy and compliance controls across pipelines and data products.
• Review solution designs, code and deployment