Job Type: 

This is a remote, full-time consulting position 

Role Scope: 

• Design and develop high-performance data architectures, which support data warehousing, real-time ETL, and batch big-data processing 
• Collaborate with Product, Engineering, Science, Data analysts, and data scientists to implement rich and re-usable datasets/metrics 
• Care about architecture, observability, testing, and building reliable infrastructure and pipelines 
• Conduct Discovery of existing Data Infrastructure and Proposed Architecture ● Evaluate, design, and implement the data pipelines, data lineage, and data governance frameworks that are suitable for a modern analytics solution, considering industry-standard best practices and patterns. 
• Data migration (if needed) 
• Reviewing plans created by other developers to ensure they meet industry standards and best practices 
• Assess best practices and design a schema that matches business needs for delivering a modern analytics solution (descriptive, diagnostic, predictive, prescriptive) ● Possesses strong leadership skills with a willingness to lead, create Ideas, and be assertive 

Requirements for the role: 

• Must-Have: 5+ years of real-world development experience working with Google Data Products (BigQuery) and SAS 
• Experience with big data tools 
• Experience with relational SQL and NoSQL databases, including Postgres, MongoDB, ElasticSearch 
• Expert knowledge of SQL, Python, and database patterns and practices ● Experience with Spark/PySpark and other streaming data pipelines 
• Nice to have experience in Azure and SAP 

Equal Employment Opportunity

We're proud to be an equal opportunity employer - and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. Differences make us better.