VP, Head of Data Platform
Tasks
- Build real time data ingestion and streaming infrastructure
- Collaborate with product analytics business and infrastructure teams
- Deliver scalable reliable data products and services
- Design develop and evolve data lakes and data warehouses
- Develop and maintain data ingestion transformation and delivery pipelines
- Establish operational excellence and reliability processes
- Evaluate and adopt cloud native data and AI technologies
- Implement data governance data quality and privacy compliance standards
- Implement monitoring, alerting, and incident management
- Integrate data observability for pipeline visibility
- Lead and manage data platform
- Lead, mentor, and grow data engineering teams
- Own BI infrastructure and analytics consumption layer
- Own data platform engineering
Perks/Benefits
Skills/Tech-stack
AI Platform | Alerting | Amazon Redshift | Apache Flink | Apache Kafka | Apache Spark | Apache Storm | Cloud Computing | Cloud Dataflow | Cloudera | DBT | Data Engineering | Data Governance | Data Lakes | Data Observability | Data Processing | Data Quality | Data Streaming | Data Warehouses | Data platform | Databricks | Dataform | ELT | ETL | Google BigQuery | Google Bigtable | Google Cloud | Google Cloud Dataflow | Google Pub/Sub | Hadoop | Incident Management | Infrastructure as Code | Kafka Streams | Kubernetes | Looker | Machine Learning | Machine Learning Infrastructure | Microsoft SQL | Microsoft SQL Server | Microsoft SQL Server Reporting | Microsoft SQL Server Reporting Services | Monitoring | MySQL | Operational excellence | Power BI | Privacy Compliance | Pub/Sub | Real Time | Real-time Data | Real-time Data Processing | Reporting services | SQL Server Reporting Services | Server Reporting Services | Snowflake | Tableau | Terraform | “as-code”
Education
Roles
Data Platform | Head | Head of Data | Head of Data Platform | Platform | VP | VP Data Platform
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