Build and maintain dbt and Snowflake data models, CDC ingestion pipelines, semantic layers, tested gold datasets, monitoring, alerting, and performance optimization. The role supports BI and AI workloads in a multi-tenant SaaS environment, including row-level security and governed data access. Responsibilities also include stakeholder collaboration, analytics code CI/CD, orchestration, Python automation, and translating technical modeling decisions for business teams.
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
- 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
Similar Jobs
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Manages and grows a portfolio of automotive dealership clients across Utah County and Southern Utah. Responsibilities include driving subscription revenue and retention, managing sales pipelines and forecasts, developing client relationships, conducting business reviews, using market and performance data, pursuing cross-sell and upsell opportunities, supporting onboarding, and resolving client issues. The role requires frequent regional travel, consultative selling, and achievement of revenue, retention, and referral goals.
Top Skills:
Analytics ToolsCrm SystemsDigital AdvertisingOnline PlatformsSales Enablement ToolsSocial Media
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Leads multiple engineering teams building CrowdStrike’s on-sensor detection platform, including detection engines, process classification, content delivery, staged rollouts, validation, and fleet observability. Owns strategy, architecture, roadmap, endpoint performance, detection efficacy, release safety, operational excellence, hiring, organizational planning, and cross-functional alignment. Drives on-device intelligence and AI-enabled engineering workflows while ensuring reliable protection across large-scale customer endpoint fleets.
Top Skills:
AIDistributed SystemsEndpoint Detection And Response (Edr)Feature FlagsLinuxmacOSMitre Att&CkModel InferenceObservabilityOn-Device Machine LearningWindows
Cloud • Information Technology • Security • Software • Cybersecurity
Lead Cloudflare’s consumption strategy across go-to-market teams. Define consumption metrics, targets, roadmap, rules of engagement, and capacity-planning methods. Coordinate pricing, finance, product, sales, IT, and developer teams through launch and ongoing improvement. Guide field enablement, resolve cross-functional ownership and crediting issues, manage a specialist, and use AI tools to improve reporting and analysis. The role requires extensive GTM strategy or revenue operations experience, program leadership, sales planning expertise, and familiarity with usage-based business models.
Top Skills:
Ai Assistants And AgentsCloud ComputingDeveloper PlatformsSaaSUsage-Based Billing Systems
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
