Job Title: Senior Analytics Engineer

Location: Louisville KY (Hybrid 3-5 days/week)

Reports to: Chief Data Officer

Employment Type: Full-Time

About the Role

DPL Financial Partners is a leader in annuities distribution and were building a modern analytics platform that powers everything from operational reporting to AI-driven insights. This isnt a role where youll spend your days dragging and dropping to build pixel-perfect dashboards. Youll own entire business domains-from pipeline infrastructure through data modeling to the intelligence layer that business teams rely on daily.

Were looking for someone who can go deep on modern data stack technology (Snowflake dbt semantic layers) while also understanding the business problems that data is meant to solve. Youll work directly with the CDO and collaborate closely with a small high-impact analytics team where everyone contributes to shared infrastructure while owning their domain end-to-end.

This role has a path to leadership for the right person.

What Youll Own

Domain Ownership

Youll be the Directly Responsible Individual for one or more business domains at DPL. Available domains include:

• Contracts & Controls (in-force contracts compliance monitoring)
• Finance Models (revenue/expense variable compensation FP&A)
• Non-Finance Models (Sales Marketing Operations Know Your Customer Direct to Consumer)

Your choice if you have the chops. Domain ownership means youre responsible for data quality governance pipeline reliability modeling decisions and delivering insights that actually move the business. Across all domains youll leverage AI and intelligence capabilities-semantic layers self-service analytics and business enablers-to deliver solutions that scale. No one is on an island-we collaborate on infrastructure and rally around problems together-but youll have real accountability and autonomy over your domain.

Day-to-Day Work

• Build and maintain dbt models that transform raw data from Salesforce NetSuite DTCC and internal systems into business-ready datasets
• Design and implement semantic layer definitions (metrics dimensions entities) that power both BI tools and AI/LLM interfaces
• Own data quality for your domain-implement tests monitoring and alerting that catch issues before stakeholders do
• Partner directly with business stakeholders to understand their problems and translate them into analytics solutions
• Use AI coding assistants (GitHub Copilot Claude dbt Copilot) throughout the development lifecycle-we expect you to leverage these tools to move faster and maintain quality
• Contribute to shared infrastructure: pipeline orchestration CI/CD observability governance
• Develop data products that solve real business problems-this could include AI-powered document processing self-service analytics tools or embedded partner BI

What You Bring

• 5 years of experience in analytics engineering data engineering or a related field
• Expert SQL skills-you can write complex queries optimize performance and debug data issues without hand-holding
• Strong experience with dbt-you understand the modeling patterns testing framework and deployment workflows
• Experience with Snowflake or a comparable cloud data warehouse (BigQuery Redshift Databricks)
• Proficiency with Python for data processing automation or analysis (vibe coding is acceptable)
• Working knowledge of Git and CI/CD practices for analytics code
• Demonstrated experience using AI coding assistants to accelerate development-or genuine curiosity and willingness to adopt them
• Ability to work onsite in Louisville KY 3-5 days per week (relocation assistance available)

Nice to Have

• Experience in insurance financial services or annuities distribution
• Experience with semantic layer tools (dbt Semantic Layer/MetricFlow Cube AtScale Snowflake Semantic Views)
• Familiarity with Salesforce data models and integration patterns
• Experience with modern BI tools like Sigma Computing Hex or Lightdash
• Background building AI/ML-powered data products or preparing data for LLM applications such as Snowflake Intelligence or Streamlit
• Pipeline orchestration experience (Airflow Dagster Prefect Matillion Fivetran OpenFlow)
• Experience at an enterprise software company or SaaS platform-you understand how data teams support product and go-to-market at scale

What Success Looks Like

First 30 Days: Youve onboarded to our tech stack understand our data sources and current models and have shipped your first contribution to the codebase.

First 60 Days: Youve taken ownership of a domain area identified gaps or opportunities and have a roadmap for improvements. Youre building relationships with business stakeholders.

First 90 Days: Youre operating independently within your domain delivering measurable value and contributing to team infrastructure decisions. Stakeholders see you as their go-to partner for data.

Compensation & Benefits

• Competitive salary commensurate with experience
• Comprehensive health dental and vision insurance
• 401(k) with company match
• Relocation assistance available
• Professional development budget

About DPL Financial Partners

DPL Financial Partners is transforming how financial advisors access and distribute annuity products. Weve built a successful sustainable business in insurance technology and our analytics platform is central to how we operate and grow. Youll join a team thats invested in modern tooling values quality over speed-at-all-costs and believes the best analytics work happens when engineers truly understand the business problems theyre solving.

Physical Demands and Working Conditions

While performing the duties of this job the employee will be required to sit or utilize a standing desk while working on a computer for extended periods. The employee may occasionally lift and/or move up to 25 pounds. The noise level in the work environment is usually moderate. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

DPL Financial Partners is an equal opportunity employer.

Required Experience:

Senior IC