Job Title

We are looking for an experienced Freelance Thoughtspot Engineer to join a high-performing engineering team working on scalable products for global enterprise clients. This role is ideal for professionals currently working in a 100% REMOTE setup and looking to take up a long-term freelance or part-time engagement alongside their primary role with competitive compensation and meaningful additional income. Company Background We are a product engineering firm partnering with top-tier global organizations across consulting, fintech, retail, and consumer tech. Our 750+ strong engineering team delivers high-impact solutions across Product and Data Engineering, with deep expertise in Agentic AI, GenAI, RPA, and Full-stack development. Key Responsibilities ThoughtSpot Development - Design and develop high-performance ThoughtSpot Liveboards and Answers - Build action-oriented dashboards tailored for business teams (Finance, Sales, Product, Marketing, Support) - Use TML (ThoughtSpot Modeling Language) for scalable deployment, migration, and versioning - Leverage SpotIQ and Spotter for automated insights and AI-driven analysis - Develop custom visualizations using Muze Studio Data & SQL (Snowflake) - Write and optimize complex SQL queries (CTEs, window functions, multi-level joins) - Build and manage efficient SQL views in Snowflake - Ensure data accuracy and validation between warehouse and dashboards - Collaborate with Data Engineers to optimize data models for search-based analytics Collaboration & Delivery - Partner with Data Analysts to convert business problems into analytical dashboards - Work cross-functionally to ensure data integrity, performance, and usability - Maintain version control (GitHub) for SQL and TML with proper review processes - Ensure timely delivery of high-quality, scalable analytics solutions Must-Have Skills - 5+ years in Data Visualization / BI Engineering - Strong hands-on experience in ThoughtSpot (MANDATORY) (Liveboards, Answers, TML, SpotIQ/Spotter) - Advanced SQL expertise (complex queries, optimization) - Strong Snowflake experience (performance tuning, data modeling) - Solid understanding of data warehousing concepts (Star/Snowflake schema) - Experience working with cross-functional business teams - Hands-on with Git / version control workflows Good to Have - Experience with Muze / custom visualizations - Exposure to modern data stack / analytics engineering - Experience building search-driven analytics systems - CI/CD workflows for analytics assets Engagement Details - Commitment: 35 hours per week with predictable workload and clear deliverables - Work Model: 100% remote engagement from our side - Compensation: Monthly payouts with a transparent pay cycle - Tenure: Long-term engagement for high performers; continuity and stability assured - Eligibility: Open only to professionals currently working in a full-time remote role (validated during screening) - Growth: Opportunity to work on complex, high-impact products alongside senior engineering leadership