AVP, Data Platform Engineering
Hartford CT- Home Office, United States
USD 177K-266K Executive-level Full Time
Tasks
- Adopt CI CD and infrastructure as code
- Define and execute data platform strategy
- Develop AI ready data foundations
- Drive data integration ingestion and API enablement
- Enable analytics and business intelligence platforms
- Ensure data governance security compliance and reliability
- Establish platform engineering standards and best practices
- Implement RAG architectures and vector search capabilities
- Improve engineering productivity with reusable patterns and automation
- Lead data platform architecture and engineering direction
- Lead global distributed engineering teams
- Lead third party data enablement with vendors
- Modernize enterprise data platforms
- Operate scalable secure reliable data platforms
- Operationalize data platform services across enterprise
- Support semantic layers ontology and knowledge graphs
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Apache Beam | Apache Beam Dataflow | Apache Spark | Automation | CI/CD | Cloud Dataproc | Cost Management | Data Governance | Data Ingestion | Data Lineage | Data Quality | Data Transformation | Data orchestration | Google BigQuery | Google Cloud | Google Cloud Dataproc | Informatica IDMC | Infrastructure as Code | Knowledge graph | Metadata Management | Observability | Ontology | Performance Tuning | Retrieval-Augmented Generation | Security | Semantic layer | Snowflake | Tableau | ThoughtSpot | Vector Search | “as-code”
Education
N/A
Regions
Countries
States
Cities
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