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Senior Technical Data Steward
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Senior Technical Data Steward
Remote Contract Role
Role Overview:
This role will be responsible for translating business needs into technical requirements, managing logical data models, and working closely with ingestion and curation teams. This role requires a deep understanding of:
- Logical data modeling
- Complex metadata management
- Developing, managing, and aligning technical data requirements
- Data curation and Data Integration
- Data governance
About the role:
- Collaborate with business leaders to define requirements and priorities and to proactively understand and update metric logic and definition
- Develop technical requirements (e.g., aggregation level, granularity) based on metrics established by business teams
- Design logical data model and orchestration requirements
- Own and manage logical data model for the Enterprise Analytics team in tandem with ingestion and curation leads
- Oversee data catalog entries and enforce data cataloging rules
- Manage access controls for end data products
- Manage change requests to the structure, definitions and/or security of identified data objects
- Communicate with the Business Data System Owner and Business Data Steward on metric updates
- Act as escalation point for Data Quality Analysts when defined processes are insufficient to resolve issues
About you:
- Hold a Bachelor s degree in computer science, engineering, statistics, economics, or MBA
- Bring 8-9+ years of experience in data engineering or data analysis
- Have hands-on experience with and understanding of the following:
- SQL
- Python or other programming language
- Databricks or other cloud data management platform
- Technical and business data cataloging
- Logical data modeling, including experience designing logical data models
- ETL/ELT tools such as Apache Airflow
- Data dictionary development
- Bring proven experience in data management, requirements management, and metadata management
Keywords: ("data steward" OR "Data custodian" OR "Data guardian" OR "data lead" OR "engineering data lead" OR "data champion" OR "data specialist" OR "data owner" OR "data engineering lead" OR "data analytics lead") AND "data model" AND "databricks" AND "python" AND "data integration" AND ("metadata management" OR "MDM") AND "airflow"
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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