Analytics Architect

What You’ll Do

• 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.

What You’ll Need

Must-Haves:

• 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 PBI
• Proven success leading complex, multi-stakeholder projects with real delivery accountability.
• Strong communication skills, both technical and consultative.
• Comfort with ambiguity and a