Note: The job is a remote job and is open to candidates in USA. InterWorks is a people-focused tech consultancy that empowers clients with customized, collaborative solutions. The Analytics Architect will lead analytics engagements, architect solutions, and mentor consultants while ensuring clients build sustainable analytics capabilities.
Responsibilities
- 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
Skills
- 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 track record of bringing structure to evolving, client-facing situations
- Experience with Sigma, including Sigma AI Apps and input tables. If not Sigma, experience in modern BI tools that are tightly integrated with the CDW
- Hands-on experience designing semantic or metrics layers (dbt Semantic Layer or similar), with a strong understanding of governed metric definition and reuse
- Consulting or client-facing delivery experience - the ability to earn trust quickly, manage expectations, and leave clients more capable than you found them
- Experience building applications natively within cloud data platforms such as Snowflake Native Apps, Streamlit in Snowflake, Cortex AI, or Databricks Lakehouse Apps and Model Serving. Comfort operating at the platform layer, not just on top of it
- Exposure to AI/LLM integration patterns: experience engineering metadata pipelines, context layers, or retrieval infrastructure that connects AI systems to governed enterprise data
- Background in data product design
- Orchestration tool exposure (Airflow, Dagster, Prefect) and familiarity with ELT patterns and pipeline design
Benefits
- W2 option
Company Overview