Responsibilities:

• 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.
• Experience leading a team that builds a set of data products to be used by downstream business applications.
• Ability to understand and apply different patterns to ingest, process & integrate data across applications and from external parties.
• Being able to create relational and non-relational data structures in both SQL and non-SQL databases and Data Integration patterns.

Skills:

• Bachelor’s or master’s degree in computer/data science technical or related experience.
• 7+ 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.
• Experience with data modeling techniques such as Data Vault and Start Schema.
• Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
• Experience in team management, communication, and presentation.