Director, Data Engineering

Tasks

• Advance engineering standards for deployment and release management
• Align application schema with analytical product and regulatory requirements
• Balance real time and batch processing strategies
• Build batch and streaming ingestion and warehouse transformation frameworks
• Define platform component ownership models
• Deliver monitoring observability lineage and data quality frameworks
• Design and develop player 360 data foundation
• Implement data governance access control security and cost management
• Implement infrastructure as code with Terraform
• Lead and grow data engineering and analytics engineering teams
• Optimize performance cost reliability and scalability for data transformations
• Own post application data platform architecture and operating model
• Partner on event messaging and streaming architecture
• Standardize dbt deployment and environment management

Perks/Benefits

• Autonomy
• Comprehensive compensation
• Professional development
• Work-life balance initiatives

Skills/Tech-stack

Access Control | Amazon Kinesis | Apache Flink | Apache Spark | Batch Processing | Capacity Planning | Cost Management | DBT | Data Governance | Data Lineage | Data Pipelines | Data Quality | Event Driven | Event-driven architecture | Infrastructure as Code | Kafka | Monitoring | Observability | Security | Snowflake | Spark Structured Streaming | Stream processing | Streaming Data | Streaming data pipelines | Structured Streaming | Terraform | “as-code”