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Job Description
Structured overview of role & requirementsAbout This Role
Lead the design, implementation, and operation of secure, scalable Databricks-based data platforms including managing workspaces, clusters, policies, and environments.
Build and optimize reliable high-performance ETL/ELT pipelines, Lakehouse architectures, and AI/ML/Generative AI solutions with monitoring and operational support.
Develop trusted analytics solutions and dashboards using Databricks SQL and BI tools; establish platform standards, automation, and documentation.
Minimum Requirements
Minimum 10 years professional experience building analytics platforms with at least 5 years hands-on Databricks experience including Databricks certification.
Proficient in Databricks, Apache Spark/PySpark, Python, SQL, Delta Lake, Unity Catalog, MLflow, and major cloud platforms (Azure/AWS/GCP).
Experience with Terraform or similar Infrastructure-as-Code tools, CI/CD, source control, and security governance (IAM/RBAC, secrets management).
Bachelor's or master's degree in Computer Science, IT, Engineering, or related field.
Ideal Candidate Profile
Experienced senior engineer capable of cross-functional collaboration across engineering, data science, analytics, security, and business teams delivering enterprise-scale data platforms.
Skillful in building production-ready AI, generative AI, and ML lifecycle solutions with strong troubleshooting, optimization, and operational discipline.
Comfortable working in large regulated or complex enterprise environments with strong ownership of secure, scalable, and maintainable data platform solutions.