AVP, Data Platform Engineering
Hartford CT- Home Office, United States
USD 177K-266K Executive-level Full Time
Tasks
- Build and operate scalable secure data platforms
- Build semantic layers ontology frameworks and knowledge graphs
- Define multi year data platform strategy
- Drive CI/CD adoption and automation
- Enable enterprise analytics and business intelligence
- Enable third party data onboarding ingestion and governance
- Establish engineering standards and best practices
- Implement vector search and retrieval augmented generation architectures
- Improve governed trusted datasets and semantic models
- Lead AI ready data foundation capabilities
- Lead data integration and ingestion services
- Lead global matrixed engineering teams
- Lead platform modernization and migration
- Lead teams for data ingestion orchestration and transformation
- Manage metadata lineage and data quality capabilities
- Provide architecture guidance for data platforms
- Support conversational and AI assisted analytics
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Analytics engineering | Apache Spark | Automation | CI/CD | Cloud Data | Cloud Data Platforms | Cloud Dataflow | Cloud Dataproc | Compliance | Cost Management | Data Architecture | Data Engineering | Data Governance | Data Lineage | Data Quality | Data Transformation | Data platform | Data platforms | Gemini Enterprise | Google BigQuery | Google Cloud | Google Cloud Dataflow | Google Cloud Dataproc | Informatica | Informatica IDMC | Infrastructure as Code | Ingestion | Knowledge graphs | Metadata Management | Observability | Ontology | Orchestration | Performance Tuning | RAG | Reliability Engineering | Retrieval-Augmented Generation | Security | Semantic Modeling | Snowflake | Snowflake Cortex | Tableau | ThoughtSpot | Vector Search | “as-code”
Education
N/A
Regions
Countries
States
Cities
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