Senior Analytics Engineer Architect

About the role

We're seeking a Senior Data Engineer/Architect to build the data foundation behind IDEXX's CAG Diagnostic Software (DxSW) portfolio and Point of Care analytics. You'll own the pipelines, models, semantic layers & the governance leveraged by analysts, agents, and customers.

Responsibilities

• Own the data architecture for CAG Diagnostic Software and Point of Care analytics.
• Build, sequence, and defend the data and analytics engineering roadmap.
• Build & manage the medallion architecture in Snowflake, ingestion through Gold.
• All transformation logic in dbt: versioned, tested, reviewed.
• Own the certified semantic layer that our BI tools (Sigma, Tableau), self-serve exploration & AI agents read from.
• Establish quality and observability monitoring across our data systems, ensuring our SLAs for accurate, available data are met.
• Own the architecture standards for our environment: integration patterns, data contracts, naming, testing.
• Own the metadata layer in Snowflake: manage data catalog adoption across the team, helping ensure every certified asset in Alation has a defined owner, description, lineage & freshness.
• Mentor and lead a team of engineers & analysts, and raise the SQL, git & modeling bar across the group.
• Build AI into the work: automated quality checks, agent-ready datasets, tooling that enables self-serve and automation.

Requirements

• Deep dbt or equivalent experience.
• Deep Snowflake or equivalent experience: analytic engineering, tuning, architecture, cost, model design.
• Dimensional, wide-table & hybrid modeling, at the finest grain.
• Experience building and maintaining pipelines & orchestration in production. Airflow experience preferred.
• Git & CI/CD, including establishing review discipline and best practices for the team.
• Expert SQL capabilities.
• You’ll continue to code in this role as well as lead and mentor your team.

Qualifications

• Management experience is highly preferred, but not required. You’ll lead a small team of engineers.
• You can explain technical trade-offs to non-technical audiences. You’re comfortable influencing architecture/system designs with R&D engineering.
• You care about naming conventions, business definitions, and context engineering.

Skills

• Telemetry, IoT, software, instrument, or medical device data.
• Semantic layers feeding BI tools, APIs, or agents.
• Warehouse-native AI: semantic models, agent frameworks, natural language query.
• Alation, DataHub, or similar catalogs.
• Veterinary diagnostics or healthcare data.

Benefits

• Base salary range of $130,000 to $160,000 based on experience
• Opportunity for annual cash bonus
• Health / Dental / Vision Benefits
• Day-One 5% matching 401k
• Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more