Head of Data Engineering

Tasks

• Build operate and improve data pipelines
• Coordinate with cloud cybersecurity and infrastructure teams
• Deliver technical demos and PoCs
• Design data lakes data warehouses and lakehouses
• Drive CI CD for data pipelines
• Ensure data platform reliability and SLA SLO compliance
• Implement batch and real-time data integration
• Implement data observability and data quality controls
• Lead Data platform architecture
• Lead RFP RFI proposal technical responses
• Lead hiring, mentoring, and performance management
• Manage data governance catalog and lineage
• Own data engineering strategy and standards
• Partner with sales and presales for solution discovery

Perks/Benefits

• N/A

Skills/Tech-stack

AWS EMR | AWS Glue | AWS Redshift | AWS S3 | Access Control | Automation | Azure Data | Azure Data Lake | Azure Fabric | Azure Synapse | Batch Data Integration | Batch data | Big Data | CI/CD | Data Architecture | Data Catalog | Data Engineering | Data Governance | Data Lake | Data Lakes | Data Lineage | Data Modeling | Data Observability | Data Quality | Data Security | Data Warehousing | Data integration | Data platforms | Databricks | Docker | Event Driven | Event-driven architecture | Google BigQuery | Google Dataproc | HBase | Hadoop | Hive | Kafka | Kubernetes | Lakehouse | Metadata Management | Nifi | Real Time | Real-Time Data Integration | Real-time Data | Spark | Streaming | Time data integration