Job Summary
Key Responsibilities
2. Define And Enforce Data Governance, Security, And Compliance Measures Across Gcp Data Platforms, Leveraging Devops Practices For Automation And Monitoring.
3. Lead The Design And Optimization Of Data Pipelines And Etl Processes Using Python And Dataflow, Ensuring Data Quality, Scalability, And Reliability.
4. Review And Validate Architectural Deliverables, Providing Expert Guidance To Teams On Gcp-Native Data Modeling, Performance Tuning, And Cost Optimization.
5. Drive Adoption Of New Gcp Features And Technologies, Ensuring Continuous Modernization And Relevance Of Data Solutions.
6. Mentor And Develop Technical Teams In Gcp Data Architecture, Fostering Knowledge Sharing And Upskilling To Mitigate Delivery Risks.
Skill Requirements
2. Expert Proficiency In Designing And Optimizing LargeScale Data Architectures On Gcp.
3. Advanced Proficiency In Python For Data Engineering And Automation Tasks.
4. Solid Understanding Of Devops Practices For Ci/Cd, Infrastructure As Code, And Monitoring Within Gcp Environments.
5. InDepth Knowledge Of Data Governance, Security, And Compliance Frameworks Relevant To Cloud Data Platforms.
6. Excellent Ability To Translate Business Requirements Into Scalable And Secure Technical Solutions.