Databricks Engineer with CICD and MLops

KEY RESPONSIBILITIES

• Serve as a lead engineer and trusted technical advisor on customer Databricks engagements, from design through production deployment
• Deliver hands-on development on Databricks across multiple customer projects
• Design and optimize distributed-computing workloads on Spark, applying knowledge of Spark runtime internals
• Implement CI/CD for production deployments
• Operationalize MLOps workflows to support machine-learning use cases
• Advise on and apply the breadth of Databricks product and platform features
• Tune workloads for performance, scalability, and cost efficiency
• Work across two or more cloud ecosystems (AWS, Azure, GCP), applying deep expertise in at least one
• Guide customers through best-practice lakehouse implementation and production readiness
• Collaborate with customer stakeholders and onshore leads overlapping PST hours to ensure timely, high-quality delivery

REQUIRED QUALIFICATIONS & SKILLS

• 812 years of experience in data engineering, data platforms, and analytics, including substantial consulting experience.
• Completed the Databricks Data Engineering Professional certification and the required Databricks classes.
• Minimum 68+ projects delivered with hands-on development experience on Databricks.
• Working knowledge of two or more common cloud ecosystems (AWS, Azure, GCP), with deep expertise in at least one.