Software Engineering Senior Manager- Data Engineering and GenAI
INR 1500K-2755K (estimate) Senior-level Full Time
Tasks
- Act as technical escalation partner for delivery risks
- Build talent pipeline and conduct performance management
- Collaborate with product managers on roadmap priorities
- Conduct peer reviews and guide engineering design
- Define and execute enterprise data engineering roadmap
- Design and maintain data governance and observability
- Drive enterprise data engineering strategy
- Drive metadata driven data engineering frameworks
- Ensure data security stability scalability
- Ensure non-functional requirements compliance
- Implement Agile and DevOps practices
- Introduce AI for automation and predictive insights
- Lead data engineering teams
- Manage resources, vendors, and budgets
- Manage software development cycle and security standards
- Oversee scalable data platform design and delivery
- Partner with architects to align to target architecture
Perks/Benefits
- N/A
Skills/Tech-stack
Agentic AI | Airflow | Alation | Apache Beam | Apache Spark | Azure Data | Azure Data Factory | Azure Fabric | Azure Synapse | BigQuery | Chunking | Cloud Composer | Cloud Engineering | Cloud Storage | Collibra | Data Catalog | Data Engineering | Data Factory | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Pipelines | Dataflow | Dataplex | Dataproc | Distributed Processing | Docker | Drift Detection | ELT | ETL | Embeddings | Event Driven | Event-driven architecture | GCP | K8s | Kubernetes | Lakehouse | Managed Spark | Microservices | Microsoft Purview | Observability | Power BI | PubSub | Python | Real Time | Real-time analytics | Retrieval-Augmented Generation | SQL | Serverless
Education
N/A
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