Analytics Architect

If you geek out over semantic layers and governance frameworks as much as you do over whiteboarding solutions with clients, you might be exactly who we're looking for. Remote work may be possible depending on the situation, let’s chat. Lead enterprise analytics engagements end-to-end — from scoping and solution design through delivery, documentation, and client enablement.Architect and build governed metric definitions, reusable data models, and self-service analytics that scale.Design and deliver Sigma Apps, including input tables, write-back workflows, and workbook-as-product patterns.Design and implement AI-enabling data infrastructure: context pipelines, metadata layers, and governance frameworks that make data assets discoverable, trustworthy, and ready for AI consumption at scale.Architect systems integrations that connect CDWs, semantic layers, BI surfaces, and operational systems into coherent, governed data products.Serve as a trusted pre-sales partner — help scope engagements, contribute to proposals, and help prospects understand the art of the possible.Establish and evangelize software and analytics engineering standards — metric definitions, CI/CD, data model conventions, and governance patterns — across client organizations and internally at InterWorks.Mentor consultants on project-based engagements, providing technical guidance and supporting professional development.Build capability areas through internal solutions, reusable assets, and external partnerships. 5+ years in analytics or data engineering, with meaningful experience in an Analytics Engineering capacity - not just BI development.Strong, production-level SQL skills and hands-on experience with dbt - modeling, testing, documentation, and ideally semantic layer integration.Experience in Python for data transformation, pipeline logic, or analytics tooling - comfortable in code, not necessarily a software engineer.Experience with version control (Git) and modern software development workflows applied to analytics work (CI/CD, PR reviews, automated testing).Cloud data warehouse depth in at least one of: Snowflake, Databricks, or BigQuery.Experience with BI platforms like Tableau and PBIProven success leading complex, multi-stakeholder projects with real delivery accountability.Strong communication skills, both technical and consultative.Comfort with ambiguity and a track record of bringing structure to evolving, client-facing situations. Our approach to work and community is unique and unconventional—just like us—and that’s the way we want it.

Create an account to see the full posting, access our search engine, and more.