Role Description We are looking for an Analytics Engineer to join a team dedicated to building the governed data foundation that powers decision-making across Talkiatry. You'll work alongside a collaborative team of engineers to design and maintain reliable, well-documented data models that stakeholders can trust and explore independently. - Build and maintain clean, scalable, well-documented data models using dbt, Snowflake, and Databricks that serve as the trusted foundation for decision-making across the org. - Partner with stakeholders to understand business questions and translate them into governed, reusable data products — not one-off reports. - Contribute to a self-service analytics environment where stakeholders can independently explore data through well-structured, reliable models. - Adhere to and help evolve our data governance, data quality, and documentation standards. - Support dashboard and reporting needs where appropriate, with an emphasis on enabling stakeholders rather than building on their behalf. - Collaborate with data and engineering teams to ensure data products are integrated into the broader product and engineering development process from the start. Qualifications - 2 to 3 years of experience in Analytics Engineering, Data Engineering, or a closely related role. - Proficient SQL skills with a working understanding of data modeling concepts (star schema, slowly changing dimensions, grain). - Hands-on experience with dbt and a cloud data warehouse such as Snowflake or BigQuery. - Familiarity with at least one BI or data exploration tool such as Omni, Looker, or Tableau. - A bias toward building reusable, documented, and governed data products over ad hoc solutions. - Exposure to working cross-functionally with non-technical stakeholders to understand business needs. - Clear communication skills with the ability to explain data concepts and trade-offs to a range of audiences. Benefits - Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care. - Collaborative environment: be part of building something from the ground up at a fast-paced startup. - Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more. - Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands. Company Description Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care. - Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 750+ psychiatrists, 250+ therapists, and more than two million patient visits delivered nationwide. - At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. - We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America. - Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose.

• Independently triage and resolve pipeline data quality issues • Author at least one new dbt model or refactor an existing one to meet current modeling standards • Design a dbt test suite for a set of models lacking coverage • Understand the end-to-end pipeline from ingress through silver and gold, and be able to trace a data quality issue to its root layer • Building strong working relationships with clients and cross-functional partners (Data Engineering, Customer Success) • Deeply familiar with Arcadia's full data stack — from ingress through silver, gold, and downstream consumers • Driving at least one improvement project forward, whether technical (e.g. model refactor, new DQ framework) or process-focused (e.g. promotion playbook, triage workflow) • Recognized as a leader within the department — peers and stakeholders seek out your expertise on data modeling and quality • Operating independently across the full scope of the role with minimal guidance • Two or more improvement projects completed and in production, with measurable impact on data quality or operational efficiency

• Engage with both internal and external customers • Solve unique data challenges and provide creative solutions • Develop custom solutions to help clients fully engage with our platform and services • Manage incoming communications through phone calls, emails, team chats, and Jira tickets • Provide accurate, valid and complete information using the right methods/tools • Follow up with clients to check satisfaction and success with solutions • Handle customer complaints, provide appropriate solutions and follow up for resolution • Troubleshoot common platform issues

• Own the data architecture for one of our products, designing, building, and continuously evolving ETL/ELT pipelines as the product and its data model change rapidly; • Support customer-facing work: data requests, POCs, and analyses that directly influence commercial outcomes; • Drive data quality and architecture decisions independently, this role requires judgment, not just execution; • Develop HTML-based dashboards and visualizations that surface the metrics and funnel visibility the product and business teams need to act; • Build and maintain data endpoints consumed by React-based product pages, stepping into front-end development when needed because you can and it moves things faster; • Bring genuine AI fluency to your workflow, not as a buzzword, but as a way of working; we’ll ask you how you’d use AI to improve what you’re building, and we expect a real answer.