Senior Semantic Data Engineer — AI-Driven Platform (Equity)

Snowflake; Menlo Park (CA); On-site; USD 264,000 - 380,000; Full time

Benefits offered by this job

Bonus and equity plan

Comprehensive benefits

Paid holidays

Paid time off

Parental leave

401(k)

FSA/HSA

Employee assistance program

Job summary

Snowflake is building the semantic views layer that powers analytics across BI, SQL, and AI agents. We’re seeking senior engineers who turn complex data models into fast, correct query pipelines at scale.

Join a world-class team focused on correctness, performance, and innovation. You’ll mentor others, shape the semantic layer roadmap, and collaborate across locations to deliver impactful features for enterprise customers.

Qualifications

• 15+ years of industry experience designing, building, and supporting large-scale data or systems software.
• Strong computer science fundamentals including data structures, algorithms, and complexity analysis.
• 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.
• Fluency in Java or another similar object-oriented language is preferred.
• A track record of identifying and implementing creative solutions to complex, ambiguous problems.
• Ability to work effectively across engineering teams in multiple locations.
• BS in Computer Science; Masters or PhD preferred.

Responsibilities

• 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.

Skills

Strong CS fundamentals

Query compilation/optimization

Semantic/metrics layers

BI and analytics infrastructure

SQL semantics & relational modeling

Java or OO language

Cross-location collaboration

Problem solving in ambiguous env

Education

BS in Computer Science

MS/PhD preferred

Job description

Snowflake is building the semantic views layer that powers analytics across BI, SQL, and AI agents. We’re seeking senior engineers who turn complex data models into fast, correct query pipelines at scale.

Join a world-class team focused on correctness, performance, and innovation. You’ll mentor others, shape the semantic layer roadmap, and collaborate across locations to deliver impactful features for enterprise customers.