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Senior ThoughtSpot Engineer Jobs

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Senior ThoughtSpot Engineer
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Join our consulting team as a Senior ThoughtSpot Engineer. Architect and optimize cutting-edge analytics solutions for diverse clients, leveraging your expertise in ThoughtSpot, SQL, and cloud platforms like Snowflake or Databricks. This remote US role offers a competitive benefits package and th...
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United States
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115000.00 - 175000.00 USD / Year
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Until further notice
Discover and apply for Senior ThoughtSpot Engineer jobs, a pivotal role at the intersection of advanced analytics, data architecture, and strategic business enablement. A Senior ThoughtSpot Engineer is a specialized data professional who architects, implements, and optimizes enterprise analytics environments using the ThoughtSpot platform. This senior-level position goes beyond basic administration, focusing on designing scalable, high-performance solutions that empower organizations to achieve self-service business intelligence and data-driven decision-making at scale. Professionals in these roles typically serve as the technical authority and trusted advisor on all matters related to ThoughtSpot. Their core responsibility is to translate complex business objectives into robust, flexible technical architectures. This involves leading requirements-gathering workshops with stakeholders, designing semantic data models (like ThoughtSpot’s “Answer Engine”), and ensuring the platform is seamlessly integrated with the broader modern data stack. They build solutions that are both powerful and adaptable, allowing for rapid configuration and evolution as business needs change. A significant part of the role also involves mentoring junior team members, establishing engineering best practices, and championing methodologies like CI/CD, version control, and automated testing within the analytics domain. The typical skill set for Senior ThoughtSpot Engineer jobs is both deep and broad. Candidates are expected to have proven, hands-on expertise with the ThoughtSpot platform itself, often validated by relevant certifications. Mastery of SQL is fundamental, complemented by scripting skills in languages like Python or JavaScript for automation and extension. A deep understanding of data modeling principles, ETL/ELT processes, and performance optimization is crucial. Furthermore, they must possess extensive experience with cloud data platforms such as Snowflake, Databricks, Google BigQuery, Amazon Redshift, or Azure Synapse, as ThoughtSpot is frequently deployed atop these technologies. Familiarity with other BI tools and relational databases provides valuable context. Beyond technical prowess, success in this profession hinges on strong consultative and communication abilities. Senior ThoughtSpot Engineers regularly engage with both technical teams and business leaders, bridging the gap between intricate data systems and strategic outcomes. They must be self-starters who thrive in dynamic environments, capable of leading projects, guiding architectural decisions, and staying ahead of emerging trends in data, analytics, and AI. For those with this blend of technical depth and strategic vision, Senior ThoughtSpot Engineer jobs offer a rewarding career path building the next generation of enterprise analytics solutions.

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