Head of Data Platform Engineering
Location(s): Jersey City, New Jersey, United States
USD 170K-300K Executive-level Full Time
Tasks
- Adopt GenAI machine learning and advanced analytics
- Collaborate with data science teams on responsible AI
- Design and develop real time data platforms
- Drive data architecture data modeling and engineering best practices
- Drive hiring and retention of diverse talent
- Ensure governance with controls documentation and approvals
- Lead and develop global engineering teams
- Lead technology portfolio delivery
- Manage compliance with regulations
- Manage data platform program scope risks and stakeholders
Perks/Benefits
- 401k
- Disability insurance
- Incentive awards
- Life insurance
- Medical/Dental/Vision insurance
- Paid Holidays
- Paid time off
- Retention awards
- Wellness programs
Skills/Tech-stack
Amazon Web Services | Apache Flink | Apache Hive | Apache Spark | Big Data | Cloud Native | Cloud platform | Data Architecture | Data Engineering | Data Governance | Data Modeling | Data Processing | Databricks | Distributed Computing | Generative AI | Google Cloud | Google Cloud Platform | Impala | In-memory Database | In-memory) | Java | Langchain | Machine Learning | Memory database | Microsoft Azure | Python | Real Time | Real-time Data | Real-time Data Processing | Redshift | Regulatory Reporting | Scala | Snowflake | Transformer Models | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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