AVP, Data Engineering
Work at Home - Fort Smith - AR, United States
R
USD 163K-245K Executive-level Full Time
Tasks
- Build reusable data product layer
- Define AI ready data standards
- Define platform KPIs
- Enable AI machine learning workloads
- Enable self-service analytics
- Ensure security, governance, compliance
- Ensure training data quality
- Evolve data platform architecture
- Implement data lineage
- Improve platform reliability and adoption
- Own enterprise data platform
- Partner with data science and analytics teams
- Provide data observability
- Support model development deployment monitoring
- Translate business and domain needs into data solutions
- Treat datasets as data products
Perks/Benefits
- Health benefits
- Professional development
- Remote work
- Retirement benefits
- Time off
- Travel as needed
- Tuition reimbursement
- Well-being programs
Skills/Tech-stack
AI-Ready Data | ANSI SQL | Apache Spark | Azure | Code review | Data Compliance | Data Governance | Data Lineage | Data Observability | Data Quality | Data Security | Data platform | Data platform architecture | Databricks | Design Patterns | DevOps | Feature Engineering | HIPAA | Machine Learning | Metadata Management | Platform Architecture | Power BI | Regulated Data Compliance | Regulated data | Schema management | Telemetry | Testing Automation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Data Engineering | Data Engineering Manager | Engineering | Engineering Manager | Manager | VP | VP Data | VP, Data Engineering
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