Steampunk's clients are looking to become a facts-based, data-driven, customer-focused organization by leveraging visual analytics platforms to analyze, visualize, and share information, and Steampunk is building and executing a data strategy to support this goal.
Requirements
- 6+ years of experience with data model and date warehouse design, including schema design and entity relationship diagrams
- 6+ years of experience collaborating with management, personas, and engineers to support data quality efforts
- Experience with large-scale data migration
- Experience designing storage and retrieval solutions for both structured and unstructured data, in support of data science pipelines
- Experience designing data platforms for user consumption
- Experience with relational SQL and NoSQL databases
- Familiarity with cloud technology, using AWS or Azure. Knowledge of managed service offerings (e.g. AWS EC2, EMR, RDS, Redshift)
Responsibilities
- Assess, understand, profile, and document diverse structured and unstructured data sources as part of data discovery and cataloging efforts.
- Perform deep data analysis to uncover insights, drive business decisions, and inform data architecture and governance strategies.
- Collaborate with stakeholders to establish data governance policies, data quality metrics, metadata management, and access control standards.
- Respond to technical inquiries related to data integration, enterprise architecture, customization, and functional capabilities of analytical products and platforms.
- Support and design solutions involving cloud-native database and data warehouse technologies (preferably AWS; alternatively, Azure or GCP).
- Design and develop solutions to high-impact, complex data problems.
- Architect and develop data models, data warehouses, data lakes/lakehouses, data governance frameworks, data discovery solutions, and data pipelines.
Other
- Ability to hold a position of public trust with the US government.
- Bachelor's degree in computer science, information systems, engineering, business, or a scientific or technical discipline
- Strong communication and customer service skills, a passion for data, and a deep curiosity for solving complex problems
- Experience working in an agile environment
- Experience collaborating with staff, IT customers, and other technical and non-technical staff and contractors at all levels
