Data Engineering Lead


Data is the lifeblood of any technology company. At C2FO, we are building a data platform to provide clean, trusted, low-latency data to stakeholders company-wide. We believe this platform will have a multiplicative impact, elevating the capabilities of engineering, sales, product, data science, business intelligence, and decision makers across the company.

The Data Engineering Lead is an independent manager of a data engineering team. They are comfortable managing team members with different skill sets from their own. They communicate expectations clearly to all team members. They solicit and deliver individual feedback frequently, not only in the scope of review periods.

They work with stakeholders across C2FO from engineering, product, data science, business intelligence and more to coordinate efforts on projects with wide-reaching impacts on the company. As a technical leader, they ensure they are tracking the team’s efficiency and quality of deliverables and regularly adjusting processes and timelines to ensure high-quality delivery.

We’re Looking for Someone Who Is

  • Concerned with the success of their teammates as well as themself

  • Respectful toward teammates of all ability levels

  • Thorough and responsive in cross-team communication

  • Willing to debate, determine the best solution, and move forward

  • Always evaluating requests to understand the problem space and develop long-term solutions

  • Vigilant in identifying tech debt and improving team processes

  • Persistent in the face of roadblocks, dispatching them efficiently, and pulling in others as necessary

  • Self-motivated and capable of working independently


  • Bachelor’s degree in Computer Science or a related field (or equivalent experience)

  • Experience managing two or more direct reports

  • Proficiency in written and verbal communication in English

  • Applicants must have the legal authority to work in the United States

Technologies We Use

  • Apache Spark

  • Apache Airflow

  • Scala

  • Python

  • GitHub

  • Data Build Tool (DBT)

  • Amazon Redshift

  • Postgres

  • AWS

  • GCP

  • Docker

  • Kubernetes

Experience with any of the above technologies is a plus, but not required. As a manager, you will not be expected to determine the technical direction of the team. You will be tasked with empowering your team to determine that direction.


First 60 Days

  • Meet our current data engineering team

  • Learn the business and tech stack by joining a data engineering team temporarily

  • Participate in planning for future team work

Beyond 60 Days

  • Take on reports and begin leading data engineering team

  • Conduct regular 1:1s with data engineers who report to them

  • Work with larger data engineering group to build roadmap

  • Conduct reviews with engineers who report to them

  • Mentor and support reports to help them reach career goals

  • Help guide technical discussions and build consensus

  • Help manage and curate team projects in JIRA


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