Analytics Engineer

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

Hybrid 3-4 days onsite,

Location:

Phoenix, Arizona

A large, operationally complex organization is undergoing a major modernization of its data platform and is building a new, cloud-native analytics foundation from the ground up. This is a greenfield opportunity for a senior‑level data modeler to establish best practices, influence architecture, and help shape how data is organized and used across the business.

This role sits at the center of a multi‑year transformation focused on modern analytics, scalable data products, and strong collaboration between data and business teams.

• Designing and implementing enterprise data models across conceptual, logical, and physical layers
• Establishing Medallion architecture patterns and reusable modeling assets
• Building dimensional and semantic models that support analytics and reporting
• Partnering closely with domain experts and functional leaders to translate business needs into data structures
• Collaborating with data engineers to align models with ELT pipelines and analytics frameworks
• Helping define modeling standards and upskilling senior engineers in modern data modeling practices
• Contributing hands‑on to data engineering work where needed (SQL, transformations, optimization)
• Proactively identifying analytics opportunities and recommending data structures to support them

This role is roughly 40% data modeling, 30% hands‑on engineering, and 30% cross‑functional collaboration.

• Strong, hands‑on experience with data modeling (dimensional, canonical, semantic)
• Deep understanding of Medallion architecture
• Advanced SQL and experience working with a modern cloud data warehouse
• Experience with dbt for transformations and modeling
• Hands‑on experience in cloud‑native data environments (AWS preferred)
• Ability to work directly with business stakeholders and explain technical concepts clearly
• Experience collaborating closely with data engineers on execution

• Familiarity with Informatica or reverse‑engineering legacy data models
• Exposure to streaming or near‑real‑time data pipelines
• Experience with visualization tools (tool choice is flexible)

• A senior individual contributor who enjoys building from scratch
• Someone who can act as a modeling expert and mentor in an organization formalizing this practice
• Comfortable working in ambiguity and taking initiative
• Strong communicator who enjoys partnering with both technical and non‑technical teams
• Equally comfortable discussing business concepts and physical data models

• Greenfield data modeling initiative with real influence
• Opportunity to define standards that will be used across the organization
• Work on large‑scale, real‑world operational and analytical data
• High visibility within a growing data organization
• Flexible work setup for individual contributors

If you’re excited about shaping a modern data foundation and want to be the person who defines how data is modeled, understood, and used, this is a rare opportunity to make a lasting impact.

Mid‑Senior level

Full‑time

Engineering and Analyst

Transportation, Logistics, Supply Chain and Storage

• Medical insurance
• Vision insurance
• 401(k)

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