About the Role
Sr Data Architect – Remote in Chester, Virginia
Sr Data Architect – Remote
Full Time Perm
Salary: $91,000 – $136,600, plus annual bonus
Way of Work: Remote
The Enterprise Data Strategy department owns the data strategy for the enterprise data lake house.
TheSenior Data Architectplays a crucial role in creating high-quality data models and structures to support downstream analytics, reporting, and application requirements. Collaborating with business, IT and analytics colleagues, the Senior Data Architect understands data needs and designs optimized structures. The Senior Data Architect’s models reduce redundancy, streamline data flow, and enhance enterprise data management. Leveraging best practices, the Senior Data Architect creates timely, reliable and scalable data products. As a recognized subject matter expert, the Senior Data Architect tackles complex problems with a broad perspective.
Your responsibilities may include, but are not limited to:
- Assemble large, complex data sets that align with business requirements.
- Analyze and translate business needs into long-term solution data models.
- Design & implement effective database solutions and models for storing and retrieving company data.
- Collaborate with the development team to create conceptual data models and data flows.
- Implement data strategies and developing physical data models.
- Lead data modeling strategy for complex projects from start to finish.
- Update and optimize local and metadata models.
- Identify database structural necessities by evaluating business operations, applications, and programming.
Minimum Qualifications
- 2+ years of experience designing and implementing database solutions
- 2+ years of experience physical and relational data modeling
- 2+ years of experience in data warehousing and data lake architecture
Preferred Qualifications
- Experience building and optimizing big-data pipelines, architectures and data sets.
- Excellent organizational and analytical abilities.
- Outstanding problem solving.
- Understanding of best practices in Data Warehousing and Data Lake architecture
- Strong knowledge of database structure systems and data mining.
- Understanding of agile methodologies and experience on a cross-functional agile team.
- Expert knowledge of metadata management and related tools.
- Experience deploying and maintaining code with version control tools.