Kit is looking to solve the business problem of managing and optimizing their source data management strategy to ensure data is accessible, reliable, and strategically aligned.
Requirements
- Strong command of SQL, including DDL and DML
- Proficient in Python
- Strong understanding of DBMS internals, including an appreciation for platform-specific nuances
- A willingness to work with Redshift and deeply understand its nuances
- Familiarity with key tools (Redshift, Segment, dbt, github)
- Experience with OLAP clusters and data quality frameworks
- Experience with data pipeline refactoring and validation processes
Responsibilities
- Own the source data management strategy
- Lead the evolution of the Redshift environment and data architecture
- Partner with stakeholders across product, engineering, and growth to ensure data is accessible, reliable, and strategically aligned
- Evaluate the CRM data lifecycle and provide recommendations for prioritized next steps
- Refine and implement a design for source extraction and warehouse ingestion
- Collaborate with the data team to build an audit feedback loop with business to enforce integrity around identity resolution, hierarchies, and entity relationships
Other
- 8+ years in data, with at least 3 years specializing in Data Engineering
- Proven track record managing and optimizing OLAP clusters
- Patient and persistent when dealing with complex legacy systems
- Strong communicator able to explain technical concepts clearly
- Detail-oriented, especially regarding data accuracy and consistency
- Collaborative mindset for cross-functional teamwork
- Standardized salary based on position ($172,000)
- Benefits include profit sharing, Kit equity, 401k with a 5% match, medical premiums, equipment allowance, individual learning + development budget, and more
