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 we're building a modern analytics platform that powers everything from operational reporting to AI-driven insights. This isn't a role where you'll spend your days dragging and dropping to build pixel-perfect dashboards. You'll own entire business domains-from pipeline infrastructure through data modeling to the intelligence layer that business teams rely on daily.

We're 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. You'll 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 You'll Own

Domain Ownership

You'll 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 you're responsible for data quality, governance, pipeline reliability, modeling decisions, and delivering insights that actually move the business. Across all domains, you'll 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 you'll 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: You've onboarded to our tech stack, understand our data sources and current models, and have shipped your first contribution to the codebase.

First 60 Days: You've taken ownership of a domain area, identified gaps or opportunities, and have a roadmap for improvements. You're building relationships with business stakeholders.

First 90 Days: You're 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. We've built a successful, sustainable business in insurance technology, and our analytics platform is central to how we operate and grow. You'll join a team that's 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 they're 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.