Senior Manager, Analytics Engineering

Analytics Engineering, Sr. Manager

Reports to: Director of Data

Job Overview: The Senior Manager of Analytics Engineering leads the delivery of a trusted, scalable analytics foundation that enables analytics teams across Lantern to confidently self‑serve insights. This role owns the quality, consistency, and adoption of enterprise data models in a Databricks Lakehouse, ensuring data is reliable, performant, and aligned to business decision‑making. This is a hands‑on leadership role for a builder who enjoys shaping data architecture, defining analytical products, and developing high‑performing teams.

Success is measured by data trust, metric alignment, and business impact, making this role ideal for a leader who thrives at the intersection of analytics, engineering, and cross‑functional collaboration.

Location: Dallas, TX – Hybrid schedule (3x in office per week)

Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their work forces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work.

With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at

• You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast‑paced environment and you take the time to celebrate both the small & big wins.
• INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with.
• You have the GRIT, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas.
• You care deeply for your customers and are driven to keep HUMANITY in all decisions. Your customers aren’t just the individuals using your product. They are the driving factor in your motivation to make a change.
• Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear.
• You thrive in a Team Environment. Collaboration is key in innovation and creating change.

These pillars of LIGHT are a reminder to our team that we are making a difference by providing guidance and support in navigating the often complex and confusing landscape of healthcare. We hope that through this LIGHT
, individuals can find their way to the best care, resources, and support they need to get back to life.

If this sounds like you, we would love to connect to speak further about career opportunities ase apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process.

• Design, build, and evolve enterprise data warehouse models using medallion architecture (Bronze, Silver, Gold) with SQL and dbt, balancing normalized and denormalized structures to ensure data reliability, consistency, performance, and usability.
• Define and deliver the data warehouse as a product, aligning model design, availability, and performance to the needs of business stakeholders.
• Develop and maintain data architecture within the Databricks Lakehouse, leveraging external tables, streaming tables, views, materialized views, and volumes to support analytical and operational use cases.
• Partner with business stakeholders to define business logic and KPIs, translating requirements into Gold‑layer models that support trusted, self‑service analysis.

• Establish and maintain a robust…