Principal Software Engineer (Semantic Views)

• Solve real business needs at large scale by applying your software engineering and analytical problem-solving skills
• Design, develop, and support the semantic modeling layer that translates semantic queries into correct, high-performance SQL
• Create architecture and design, influence the semantic layer roadmap, and take ownership over new capabilities spanning metrics, dimensions, relationships, and governance
• Ensure semantic queries produce correct results while meeting the performance and scale demands of interactive analytics over petabyte-scale data
• Partner with the Cortex and AI teams to make the semantic layer the reliable grounding source for natural-language and agent-driven analytics
• Understand the trade-offs between expressiveness, correctness, performance, and cost, and build solutions that hold up as usage grows
• Mentor and grow engineers, and raise the technical bar across the team
• Ensure operational readiness of the features we ship and meet our commitments to customers on correctness, availability, and performance

Benefits

• Comprehensive health insurance plans
• Health savings accounts
• Robust retirement plans
• Life and disability insurance
• Weekly online lunch and learns
• Virtual workout classes
• Ergonomic work-from-home equipment
• On-demand mental health and wellness programs
• Fertility benefits and family planning resources
• Generous time-off and various leave plans
• Onsite and Remote Work
• Employee discounts and pre-tax selections
• New hire equity + Employee Stock Purchase Plan (ESPP)
• Quarterly bonus or commission program- A track record of identifying and implementing creative solutions to complex, ambiguous problems
• Strong computer science fundamentals including data structures, algorithms, and complexity analysis
• 15+ years of industry experience designing, building, and supporting large-scale data or systems software
• BS in Computer Science; Masters or PhD preferred
• Fluency in Java or another similar object-oriented language is preferred
• Ability to work effectively across engineering teams in multiple locations
• Deep experience with at least one of: query compilation and optimization, database or query engine internals, semantic/metrics layers, or BI and analytics infrastructure
• A strong grasp of SQL semantics and relational modeling, and an appreciation for why correctness of results is non-negotiable