Director - Data Engineering
INR 3000K-3300K (estimate) Executive-level Full Time
Tasks
- Build partnerships with cloud providers and ecosystem vendors
- Coordinate cross functional stakeholders for roadmap alignment
- Define KPIs for platform reliability pipeline throughput and query performance
- Define engineering best practices for data pipelines CI CD Git workflows code reviews testing and automated deployments
- Define long term data platform vision cloud native data patterns data mesh lakehouse semantic layers and self serve analytics
- Drive capacity planning and resource allocation across projects
- Drive performance tuning and cost control for Snowflake
- Ensure data quality lineage observability schema evolution and metadata management
- Evaluate and incubate emerging technologies
- Foster continuous learning culture with knowledge sharing
- Implement data lifecycle and cost governance policies
- Implement secure by design access control dynamic data masking encryption and data governance
- Lead design and delivery of enterprise data platforms on Snowflake
- Manage portfolio trade offs technical debt vs new features cost vs performance central platform vs team autonomy
- Operationalize data classification cataloging and data stewardship workflows
- Own architecture for batch and streaming data pipelines
- Own end to end program delivery for multi team initiatives
- Present roadmaps translate technical trade offs into business impact and ROI metrics
- Promote experimentation with small fast pilots and scale successful patterns
Perks/Benefits
- Charitable partnerships
- Flexible time off
- Health coverage
- Public holidays
- Volunteer opportunities
- Wellbeing perks
- Work-life balance
Skills/Tech-stack
AWS Redshift | Access Control | Airflow | Analytics | Automated Deployment | Automated testing | Azure Databricks | Batch Processing | Budget tracking | Business Intelligence | CI/CD | Cloud Computing | Clustering | Cost Optimization | Cross-functional | Cross-functional leadership | DBT | Data Engineering | Data Governance | Data Lifecycle Management | Data Lineage | Data Modeling | Data Privacy | Data Quality | Data Tiering | Data lifecycle | Data masking | Data mesh | Delta Lake | Dimensional Modeling | Dynamic data | Dynamic data masking | Encryption | Event Hubs | Feature Engineering | Feature Store | Functional leadership | GenAI | Git | Kafka | Key Performance Indicators | Lakehouse | Lifecycle Management | MLOps | Machine Learning | Materialized views | Metadata Management | Micro-partitioning | Observability | Performance Tuning | Performance indicators | Pipeline reliability | Program Management | Query profiling | RAG | Rightsizing Compute | Schema evolution | Semantic layer | Snowflake | Snowflake Schema | Star Schema | Streaming Analytics | Streaming Data | Terraform | Vector Databases | Warehouse sizing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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