Data Architect
4 weeks ago
At Parafin Inc, our mission is to facilitate growth for small businesses. We are a technology company that builds infrastructure enabling small businesses to access financial services through platforms they sell on. Our products offer capital-as-a-service for online platforms. We currently power capital programs for platforms and payment processors ranging from Series B to post-IPO companies. Our team comes from organizations such as Stripe, Square, Plaid, Coinbase, Robinhood, Affirm, Uber, and CERN. We are backed by prominent venture capitalists and have raised more than $94M in equity and $200M in debt.
About the PositionWe are seeking an Analytics Engineer to organize and activate Parafin Inc's ecosystem of data. This role will be responsible for architecting business-critical datasets used across the company. The chosen candidate will drive alignment between teams by ensuring all of Parafin Inc can be pointed to the same sources of truth.
Responsibilities- Foster a data-driven culture by ensuring everyone has easy access to trustworthy and complete data.
- Interface between data engineering and end users to help improve our data tooling and development velocity.
- Define and enforce our data best practices - data modeling, testing, version control, and cataloging.
- Build efficient, modular, flexible, and reliable datasets that can unlock insight for stakeholders across the business.
- Identify gaps in how we collect data today, and work with engineering teams to ensure we are measuring the things that we need to measure about our customers and our product.
- 2+ years of experience
- Collaborate well with data, engineering, product, and business functions
- Care deeply about the quality and correctness of your work
- Comfortable managing competing and shifting priorities and can organize your own work to accomplish multiple tasks
- Excited about working on a small team and setting the foundations for how data is used at Parafin Inc
- Have two years of work experience in a similar role
- Deeply experienced with SQL, and able to write efficient queries
- Have a bachelor's degree in a technical discipline
- Experience building and maintaining data pipelines
- Familiarity with 'modern data stack' tools and technologies, such as Databricks, Airflow, DBT, and Reverse ETL
- Experience working with both technical and non-technical stakeholders
- Experience identifying and communicating data-derived insights
- Salary Range: $135-$155k
- Equity grant
- Medical, dental & vision insurance
- Unlimited PTO & work from home flexibility
- Commuter benefits
- Free lunches
- Paid parental leave
- 401(k)
- Employee assistance program
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