Steampunk is looking for a Data Architect to help their clients become a facts-based, data-driven, customer-focused organization by architecting and developing data models, data warehouses, lakes, and lakehouses, data governance, services, and pipelines. They need to leverage visual analytics platforms to analyze, visualize, and share information, and design and develop solutions to high-impact, complex data problems.
Requirements
- Experience in crafting database / data warehouse solutions in cloud (Preferably GCP. Alternatively Azure, AWS)
- Key must have skill sets – data modeling, cloud
- 2-4 years of experience with data model and date warehouse design, including schema design and entity relationship diagrams
- Demonstrated on-the-job experience with large-scale data migration
- Demonstrated on-the-job experience designing storage and retrieval solutions for both structured and unstructured data, in support of data science pipelines
- Demonstrated experience working with SQL and relational databases, query development and optimization (SQL) as well as working familiarity with a variety of databases, such as Oracle, SQL Server, PostgreSQL, and others
- Demonstrated experience programming in Python, R, Scala, or similar language
Responsibilities
- Lead and architect migration of data environments with performance and reliability
- Assess, understand, and document data sources
- Address technical inquiries concerning customization, integration, enterprise architecture, and general feature / functionality of data products
- Experience in crafting database / data warehouse solutions in cloud (Preferably GCP. Alternatively Azure, AWS)
- Support an Agile software development lifecycle
- You will contribute to the growth of our Data Exploitation Practice!
- design and develop solutions to high-impact, complex data problems
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
- 2-4 years of experience collaborating with management, personas, and engineers to support data quality efforts
- Demonstrated and understanding customer requirements and prioritize for maximum customer / user experience
- Demonstrated experience collaborating with staff, IT customers, and other technical and non-technical staff and contractors at all levels
