Pubblicato il 17 giugno
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Overview
As a Sr. Consultant in Analytics Engineering, you translate raw data into trusted, well-modeled analytics assets powering decision-making and BI. You design dimensional models, semantic layers, and robust testing/observability, delivering analytics workflows with CI/CD. You collaborate closely with data engineers, BI developers, analysts, and clients to create durable data products and mentor others on best practices. This role combines software engineering rigor with analytics, shaping scalable data foundations for AI/ML use cases.Responsibilities
Design and deliver dimensional and analytical data models, semantic layers, testing frameworks, and CI/CD for analytics workflows
Partner with Data Engineers, BI Developers, Analysts, and client stakeholders to translate business requirements into reusable data products
Lead modeling decisions on client engagements and mentor junior analytics engineers and analysts on dbt and analytics best practices
Maintain data models as products with clear ownership, naming conventions, documentation, and SLAs
Prepare technical and business-facing artifacts (design docs, lineage maps, metric catalogs, runbooks) for internal and client stakeholders
5+ years in analytics engineering, data modeling, BI engineering, or related roles
Expert-level SQL with warehouse tuning (Snowflake preferred)
Production experience with dbt projects (dbt Core/Cloud)
Strong dimensional modeling knowledge (Kimball, SCD, conformed dimensions)
Experience defining and governing metrics in a semantic layer and partnering with BI tools
Data quality/testing experience (dbt tests, data contracts, freshness checks)
Git-based workflows and CI/CD for analytics (GitHub Actions, GitLab CI, Azure DevOps)
Experience with orchestration tools (dbt Cloud, Airflow, Dagster, Prefect)
Python scripting for analytics tooling
Cloud experience on AWS (Azure, GCP nice to have)
Experience integrating modeled data with BI tools (Tableau, Power BI, Looker, Sigma, Hex, Mode)
Leadership in client engagements and mentoring juniors
Ability to present artifacts to stakeholders and work in Agile teams
Experience hiring, developing, and managing a technical team
Benefits
Healthcare benefits package
401(k) and stock purchase plan
Generous paid time off and parental leave
Training and certifications via AI-driven platform
Diversity and inclusion programs
Career development opportunities
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