AVP, Data Management
USD 150K-300K Executive-level Full Time
Tasks
- Build Lakehouse architectures
- Build event-driven architectures
- Build multi year technology roadmap
- Create domain oriented data architectures
- Define canonical data models
- Define enterprise data platform strategy
- Design ETL/ELT pipelines
- Drive DataOps automation and CI CD
- Ensure data platform reliability performance and scalability
- Establish data architecture standards
- Establish operational metrics and dashboards
- Govern enterprise data architecture
- Implement data quality monitoring and remediation
- Lead data migration and consolidation
- Lead enterprise data engineering teams
- Lead enterprise data transformation initiatives
- Manage incident management and root cause analysis
- Manage metadata and data lineage
- Manage vendor relationships and partnerships
- Modernize data platforms and integration
- Oversee enterprise integration strategy
- Own security access controls and disaster recovery
Perks/Benefits
- N/A
Skills/Tech-stack
Azure | CI/CD | Data Architecture | Data Engineering | Data Lineage | Data Management | Data Observability | Data Quality | Data mesh | DataOps | Databricks | DevOps | Domain-driven architecture | EDI | ELT | ETL | Enterprise analytics | Event Driven | Event-driven architecture | FHIR | HL7 | Lakehouse | Machine Learning | Master Data | Master Data Management | Metadata Management | Operational reporting | Snowflake
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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