Jobs at Snap Analytics

Design and deliver SAP data features from architecture through production, extracting SAP data into Datasphere, Business Data Cloud, Databricks, and Snowflake platforms. Lead, mentor, and coach India-based developers; serve as the SAP data expert for Pune teams; support client discovery and roadmap discussions; and help build Snap Analytics’ SAP capability in India. The role is hybrid in Pune, works 11:00–20:00 IST, and may involve occasional international client travel.

Designs and maintains dbt Core data models and scalable Snowflake transformation pipelines. Responsibilities include SQL development, performance tuning, testing, documentation, version control, CI/CD practices, and translating business requirements into technical schemas. The consultant collaborates with analysts, business leads, project managers, and engineers while progressively delivering work independently across client projects.

Coordinate day-to-day Pune office operations, including facilities, supplies, vendors, records, petty cash, invoices, procurement, employee onboarding logistics, workplace support, events, travel, and office visits. The role ensures vendors deliver services, operational issues are resolved promptly, documentation remains accurate, and employees receive a well-supported workplace experience.

Lead delivery of cloud data platform solutions: design and build pipelines on Snowflake/Databricks using SQL, PySpark and ETL tools, implement CI/CD, work client-facing to run workshops, mentor junior staff, and identify business value.

Lead multi-stream data and AI projects, own project plans, budgets and risks, run governance meetings, coordinate Architects/Data Engineers/AI teams, apply Snap's delivery methodology, manage senior stakeholders, and oversee multiple concurrent client engagements to ensure timely delivery and client satisfaction.

Lead enterprise data platform transformations across Snowflake and Databricks; mentor and develop associate consultants; own workstreams and client relationships with senior stakeholders; translate technical design into business value; shape practice standards, tooling, proposals and enablement; drive platform design to support analytics and AI at scale and identify account expansion opportunities.