Aline is building the resident lifecycle platform for senior living: one record that follows every resident from first inquiry through end of life. As part of our Data Platform team, you will build the data foundation behind that vision, giving operators a canonical, reliable record of their residents and communities. This is not just about better dashboards. The models you build become the ground truth that AI agents reason over, the layer that will one day flag a resident at risk, recommend the next best action, and act on it, not just report on it after the fact. You are building the foundation that both humans and agents will rely on to drive better care, retention, and outcomes.
What You'll Do
Own and extend our dbt models on Snowflake, following medallion architecture (bronze/silver/gold) patterns
Manage CDC-based ingestion pipelines (Fivetran and similar tools) landing data from transactional systems into Snowflake
Broaden Snowflake and dbt models to become the semantic layer for our reporting and analytics, evolving existing logic out of point tools like Power BI and into a single, governed source of truth
Build reliable, well-tested gold-layer datasets that support BI reporting and downstream AI/agentic workloads
Apply data modeling best practices (star schemas, SCDs) to support multi-tenant SaaS reporting needs
Collaborate cross-functionally with data operations, platform engineering, product teams and others
Write dbt tests and documentation so models are trustworthy and self-explanatory for downstream consumers
Monitor pipeline health and data freshness, and build alerting so issues surface before they reach a report or dashboard
Keep an eye on Snowflake warehouse usage and query performance, and tune models/warehouses as the data volume grows
Work directly with stakeholders in Product, Sales, and Customer Success to turn reporting requests into well-modeled data
Support row-level security and data access design so multi-tenant customer data stays properly isolated
What We're Looking For
Strong SQL fundamentals and hands-on Snowflake experience
Production experience with dbt; building, testing, and maintaining models at scale
Experience with CDC pipelines and ELT tools like Fivetran
Familiarity with Power BI, ideally including semantic model / measures work
Understanding of medallion architecture and how gold-layer data supports both BI and AI use cases
Experience working in a multi-tenant SaaS environment strongly preferred
Comfortable with git-based version control and CI/CD for analytics code (dbt/SQL changes reviewed and deployed like software)
Working knowledge of an orchestration tool (dbt Cloud, Airflow, Dagster, or similar) for scheduling and monitoring pipelines
Python for scripting and automation around data workflows
Strong communicator who can translate technical modeling decisions for non-technical stakeholders
Comfortable in a lean team environment where you may own a problem end-to-end rather than a narrow slice of it
Bonus: exposure to data ontology/semantic modeling for AI/agentic workloads
Bonus: familiarity with healthcare data privacy considerations (e.g. HIPAA) given the clinical data our platform touches