Principal Data Engineer

Role Description

A Place for Mom is building the next generation of intelligent, scalable platforms that connect families, providers, and advisors through data- and AI-driven experiences. We are seeking a Principal Data Engineer to help define and evolve our enterprise data platform strategy, with Databricks serving as the foundation for analytics, AI, machine learning, governance, and data product development across the organization.

This role serves as a strategic technical leader for APFM's data platform, governance, and data product ecosystem. You will help define how data is managed, governed, discovered, and consumed across the organization, enabling trusted self-service analytics, scalable AI capabilities, and data-driven decision making.

Working closely with Engineering, Analytics, AI/ML, Product, and business stakeholders, you will help evolve our federated data operating model while ensuring the platform remains secure, reliable, and easy to use.

Qualifications

• 10+ years of experience in data engineering, data platform architecture, governance, or related disciplines.
• Deep expertise designing and operating enterprise-scale Databricks Lakehouse platforms.
• Extensive experience with Spark, Delta Lake, Unity Catalog, Databricks Workflows, and platform governance capabilities.
• Strong proficiency in SQL, Python, and PySpark, with experience building and optimizing data processing workloads on Databricks.
• Experience designing and supporting semantic layers, metrics governance, and self-service analytics capabilities.
• Strong understanding of governance, metadata management, lineage, observability, security, and reliability engineering principles.

Requirements

• Define and evolve the technical vision and roadmap for APFM's Databricks platform and broader data ecosystem.
• Drive the evolution of APFM's federated data operating model, balancing domain ownership with enterprise governance and standards.
• Partner with Analytics Engineering and business stakeholders to evolve the semantic layer, ensuring business definitions, metrics, and dimensions remain consistent, discoverable, and trusted.
• Establish standards for metadata management, lineage, discoverability, stewardship, and data quality across the organization.
• Drive development of reusable data products and shared platform capabilities that enable self-service analytics at scale.
• Lead adoption and governance of Databricks capabilities including Delta Lake, Unity Catalog, Workflows, AI/BI Genie, MLflow, Vector Search, and related platform services.
• Partner closely with AI and Machine Learning teams to establish scalable operational patterns for model development, deployment, monitoring, and governance.
• Guide technical decision-making across multiple teams and domains, helping align platform investments with business outcomes.
• Mentor engineers across the organization and help elevate technical capabilities and engineering excellence.

Benefits

• 401(k) plus match
• Dental insurance
• Health insurance
• Vision Insurance
• Paid Time Off

Company Description

A Place for Mom is the leading platform guiding families through every stage of the aging journey. Together, we simplify the senior care search with free, personalized support — connecting caregivers and their loved ones to vetted providers from our network of 15,000+ senior living communities and home care agencies.

Since 2000, our teams have helped millions of families find care that fits their needs. Behind every referral and resource is a shared goal: to help families focus on what matters most — their love for each other.

We’re proud to be a mission-driven company where every role contributes to improving lives. Caring isn’t just a core value — it’s who we are. Whether you’re supporting families directly or driving innovation behind the scenes, your work at A Place for Mom makes a real difference.

• Mission Over Me: We find purpose in helping caregivers and their senior loved ones while approaching our work with empathy.
• Do Hard Things: We are energized by solving challenging problems and see it as an opportunity to grow.
• Drive Outcomes as a Team: We each own the outcome but can only achieve it as a team.
• Win The Right Way: We see organizational integrity as the foundation for how we operate.
• Embrace Change: We innovate and constantly evolve.