Tala - Analytics Engineering Manager

• 8+ years in analytics engineering, data engineering, or data platform roles, including at least 2+ years of managing engineers directly. • Demonstrated ownership of a semantic layer, metrics layer, or equivalent governed-metric platform at organizational scale. • Track record of shipping horizontal data infrastructure across different business units. • Experience acting as the end-to-end "glue" across data generation, transformation, consumption, and metric definition, rather than owning one narrow slice. • Comfort operating in a hybrid manager / senior architect / hands-on builder shape and switching modes based on what is actually blocking the work. • Track record of managing and developing engineers: setting priorities, giving feedback, hiring, and keeping delivery predictable. • Expert SQL and strong Python. • Deep experience with a cloud data warehouse (Snowflake preferred) and with dbt or equivalent transformation frameworks, including incremental strategy, testing, and performance and cost optimization. • Hands-on experience with semantic layer technologies — warehouse-native semantic models, BI semantic layers, headless BI APIs, or equivalent. • Working knowledge of LLM and agent tooling applied to analytics workflows. • Experience with modern BI and notebook environments (Omni, Looker, Hex, Databricks, Tableau or similar). • Data observability and quality tooling; automated testing and CI/CD for data. • Able to make architecture calls under ambiguity, document the reasoning, and hold the line against expedient workarounds. • Able to influence senior technical and business peers • Able to coach engineers, give direct feedback, and hold a high bar while keeping the team motivated • Strong written and verbal communication; comfortable producing the design docs and decision records that make direction durable. • Balances stakeholder demand against the real cost of producing and storing data. • Bias toward shipping. Discovery is a means to delivery, not a deliverable. • Willing to be persistent about follow-through when initiatives lose momentum. • Treats tech debt and small daily quality-of-life wins as legitimate priorities, not chores. • Anticipates what data consumers will need before they ask. • Comfortable being the newest person in the room and still making the call. • Measures success by what the team ships rather than by personal output, and delegates readily. • $160,000 - $200,000 a year • Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.