Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.
Skills
Good knowledge of metadata management, data modeling, and related tools like Erwin or ER Studio required.
5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.