AVP, Data Solutions Engineering — Scale Data Pipelines (Hybrid Nashville)

Socotra, Inc.; Nashville (TN); Hybrid; USD 140,000 - 180,000; Full time

Job summary

Fortitude Reinsurance Company Ltd. (Fortitude Re) in Nashville, TN, is seeking an Assistant Vice President of Data Solutions Engineering to build, deploy and govern enterprise data pipelines.

The role collaborates with data platform engineers, governance, data science and analytics teams to deliver reliable data solutions for business need. The role requires seven years in data engineering with Python and SQL and a strong understanding of ETL/ELT, APIs and cloud.

Qualifications

• Bachelor's degree in Math, Computer Science or Engineering.
• Strong understanding of ETL/ELT, APIs, Cloud, data operations.
• Domain knowledge of Actuarial, Investment and Finance within Insurance/Reinsurance industry is a plus.
• Minimum experience of seven years in a growing data engineering role, with at least five years in programming (Python) and SQL.
• Robust knowledge of data lakes, data governance and modern data quality techniques.
• Excellent analytical, problem solving and conceptual skills.
• Strong verbal and written skills.

Responsibilities

• 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.

Skills

Python

SQL

Data pipelines

ETL/ELT

APIs

Cloud

Data governance

Data quality

Analytical skills

Communication skills

Education

Bachelor's degree in Math, Computer Science or Engineering

Tools

Cloud platforms

Data lakes

Job description

Fortitude Reinsurance Company Ltd. (Fortitude Re) in Nashville, TN, is seeking an Assistant Vice President of Data Solutions Engineering to build, deploy and govern enterprise data pipelines.

The role collaborates with data platform engineers, governance, data science and analytics teams to deliver reliable data solutions for business need. The role requires seven years in data engineering with Python and SQL and a strong understanding of ETL/ELT, APIs and cloud.