AVP, Data Solutions Engineering

Fortitude Re

$160K — $180K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Math, Computer Science or Engineering.
  • 7+ years in a data engineering role, with 5+ years in programming (Python) and SQL.
  • Strong knowledge of ETL/ELT processes, APIs, and cloud technology.
  • Familiarity with data governance and modern data quality techniques.
  • Preferred domain knowledge in Actuarial, Investment, and Finance within the Insurance/Reinsurance sector.
  • Excellent analytical, problem-solving, and communication skills.

Responsibilities

  • Deliver well-architected data solutions in collaboration with various technical teams.
  • Design data solutions and mentor early career data engineers.
  • Lead the build-out and deployment of operational data pipelines.
  • Ensure reliability, scalability, and robust governance of data pipelines.
  • Engage with business partners to understand data needs.

Benefits

  • Generous benefits package including annual bonus based on performance.
  • Hybrid work arrangement based in Nashville, TN.
Full Job Description
Assistant Vice President, Data Solutions Engineering will be responsible for building operational data pipelines and delivering fully documented datasets that account for data integrations. This role is engaged and aligned with our business partners to understand their needs and build data engineering solutions to address these needs. The role will report to the VP, Data Solutions Engineering.

This role will be based in Nashville, TN on a hybrid basis.

What You Will Do:

  • Deliver well-architected data solutions in partnership with data platform engineers, data governance, data science, and data analytics/visualization peers.


  • Partner with business teams to design data solutions with the ability to mentor early career data engineers.


  • Lead build-out and deployment of data pipelines.


  • Ensure reliability, scalability and governance of data pipelines.


What You Will Have:

  • Bachelor's degree in Math, Computer Science or Engineering.
  • Minimum experience of seven years in a growing data engineering role, with at least five years in programming (Python) and SQL.


  • Strong understanding of ETL/ELT, APIs, Cloud, data operations.


  • Domain knowledge of Actuarial, Investment and Finance within Insurance/Reinsurance industry is a plus.


  • Robust knowledge of data lakes, data governance and modern data quality techniques.


  • Excellent analytical, problem solving and conceptual skills.


  • Strong verbal and written skills.

#LI-Hybrid

The base salary range for this role is listed below and will be commensurate with candidate experience. Pay ranges for candidates may differ based on the cost of labor in that location. In addition to base salary, all employees are eligible for an annual bonus based on company and individual performance as well as a generous benefits package.

Base Salary Range

$160,000-$180,000 USD

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