Director of Engineering, Data Platforms
IN - HYDERABAD ORION, India
INR 3000K-4000K (estimate) Executive-level Full Time
Tasks
- Build cloud native data pipelines using AWS services
- Develop reusable ingestion and processing patterns batch and streaming
- Drive engineering rigor for production readiness and incident management
- Enhance stabilize optimize data pipelines
- Ensure pipeline reliability observability and supportability
- Establish data quality reconciliation metadata alignment stewardship workflows
- Establish infrastructure as code and release automation standards
- Implement ingestion transformation testing deployment monitoring patterns
- Implement monitoring logging alerting and telemetry
- Integrate pipelines with enterprise data mastering platform
- Lead asset agnostic data onboarding enablement
- Lead mentor and develop data engineering team
- Manage secure access using IAM encryption and controls
- Participate in design reviews and technical discussions
- Partner with global teams for governance and engineering standards
- Promote automated testing CI CD observability and incident response
- Provide technical coaching and performance feedback
- Set priorities manage execution and ensure delivery commitments
- Standardize data ingestion transformation governance and publishing
- Support NeoXam DataHub golden record generation and maintenance
- Transition data pipelines to target data platform
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS CodeBuild | AWS CodePipeline | AWS Glue | AWS IAM | AWS Kinesis | AWS Lake | AWS Lake Formation | AWS Lambda | Amazon S3 | Apache Iceberg | Automated testing | Batch data | CI/CD | Data Governance | Data Lineage | Data Quality | Databricks | Databricks Unity | Databricks Unity Catalog | Delta Lake | Encryption | Incident Management | Infrastructure as Code | Lake Formation | Metadata Management | Observability | Orchestration | Schema management | Streaming Data | Unity Catalog | “as-code”
Education
N/A
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