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AVP, Data Solutions Engineering
Fortitude Re. Build operational data pipelines and deliver fully documented datasets accounting for data integrations .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and deploying data pipelines, ensuring reliability and scalability while collaborating with cross-functional teams. Proficient in data governance and quality techniques, with a strong foundation in programming and data operations.
Highest-signal resume keywords
ETL/ELTPython ProgrammingSQL ProgrammingData GovernanceData Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentData IntegrationData Quality TechniquesData LakesAPIs
Soft Skills
Analytical SkillsProblem-Solving SkillsVerbal CommunicationWritten Communication
Tools & Technologies
Cloud TechnologiesData AnalyticsData Visualization
Industry Keywords
ActuarialInvestmentFinanceInsuranceReinsurance
Tech Stack
Tools & technologiesCloudETLPythonSQL
About the role
Key responsibilities & impact- Build operational data pipelines and deliver fully documented datasets accounting for data integrations
- Understand business partner needs and build data engineering solutions
- Deliver well-architected data solutions in partnership with data platform engineering, data governance, data science, and data analytics/visualization peers
- Partner with business teams to design data solutions
- Mentor early-career data engineers
- Lead the build-out and deployment of data pipelines
- Ensure reliability, scalability, and governance of data pipelines
- Report to the VP, Data Solutions Engineering
Requirements
What you’ll need- Bachelor's degree in Math, Computer Science or Engineering
- Strong understanding of ETL/ELT, APIs, Cloud, and data operations
- Minimum seven years of experience in a growing data engineering role
- At least five years of programming experience with 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
- Domain knowledge of Actuarial, Investment and Finance within the Insurance/Reinsurance industry is a plus
Benefits
Comp & perks- Annual bonus based on company and individual performance
- Generous benefits package
- Inclusive and belonging-focused company culture
- Equal opportunity employment practices