Responsibilities
- Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL)
- 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 architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security, analytics, and data visualization
- Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC
- Work proactively and independently to address project requirements and reduce delivery risks
Skills
Bachelor's or Master's degree in computer / data science or related field5+ years of hands-on experience with relational, dimensional, or NoSQL platformsExperience with data warehouse, data lake, and big data platforms in multi-datacenter setupsGood knowledge of metadata management, data modeling, and tools like Erwin or ER StudioExperience in ETL and data ingestion protocolsStrong team management and communication skillsSkills Required
Erwin, Nosql, Etl, Data Lake, Rdbms, Data Modeling