
Data Architect
4 semanas atrás
Overview:
The company is seeking an experienced data modeler to design, implement, and document data architecture and data modeling solutions. This role is remote, full-time, and on a contractual basis projected to be a year long.
Key Responsibilities:
- Develop 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).
- Collaborate with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models.
- Establish 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 concerns, analytic models, and data visualization.
Requirements:
- Bachelor's or master's degree in computer science, data science, or related experience.
- 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-datacenter contexts required.
- Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
- Experience in team management, communication, and presentation.
What You Need To Know:
This role involves developing conceptual, logical, and physical data models, implementation of RDBMS, ODS, data marts, and data lakes on target platforms (SQL/NoSQL). The successful candidate will oversee and govern the expansion of existing data architecture and optimize data query performance via best practices.
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