Sr. Manager Data Engineering & Analytics
New York, New York, United States
USD 150K-200K Senior-level Full Time
Tasks
- Build and mentor data engineering and analytics team
- Define data quality KPIs and SLAs
- Define data strategy and roadmap
- Design and maintain scalable data pipelines
- Ensure data visualization and reporting reliability
- Establish data governance and quality standards
- Evaluate and introduce new data technologies and observability
- Implement data governance frameworks and compliance
- Integrate disparate data sources
- Manage ETL and ELT workflows
- Optimize data pipeline performance and availability
- Oversee data warehouse architecture
- Support operational and executive reporting with clean modeled data
Perks/Benefits
- Health care plans
- Hybrid work model
- Paid Maternity Leave
- Paid parental bonding leave
- Paid time off
- Retirement plan
- Sabbatical
Skills/Tech-stack
API Integration | Apache Airflow | Azure Data | Azure Data Factory | Cloud Data | Cloud Data Platforms | DBT | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Warehousing | Data platforms | Databricks | ELT | ETL | Learning operations | Machine Learning | Machine Learning Operations | Metadata Management | Observability | Power BI | Python | SQL | Snowflake | Tableau
Education
Regions
Countries
States
Cities
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