Senior Technical Product Manager, Data Engineering
US - NY NYC - 55 WATER ST 40 HRS, United States
USD 100K-149K Senior-level Full Time
Tasks
- Champion data quality initiatives and implement data quality monitoring
- Define and execute ontology integration strategy
- Define requirements for common data pipeline capabilities
- Develop innersource ecosystem strategy for platform capabilities
- Drive product strategy and roadmap for data infrastructure
- Implement MLOps practices for machine learning operations
- Lead cross functional teams to deliver data engineering capabilities
- Own product vision for disaster recovery and resiliency frameworks
Perks/Benefits
- Continuing education support
- Continuous learning
- Family-friendly perks
- Financial wellness programs
- Flexible time off
- Health and wellness benefits
- Referral incentive awards
- Retail discounts
- Retirement planning
- Student loan contribution
Skills/Tech-stack
AWS | Agile | Apache Airflow | Apache Spark | Cloud Computing | Cloud platform | Data Governance | Data Pipelines | Data Quality | Databricks | Databricks SQL | Delta Lake | DevOps | Enterprise Data | Enterprise data pipelines | Google Cloud | Google Cloud Platform | Kafka | MLOps | MLflow | Machine Learning | Machine Learning Model Management | Microsoft Azure | Model Deployment | Model Management | Model Monitoring | SDLC | Scrum
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Business Administration | Master of Science
Roles
Regions
Countries
States
Cities
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