What are the responsibilities and job description for the Analytics Engineer position at Harnham?
Analytics Engineer
Hybrid 3-4 days onsite
Location: Phoenix, Arizona
Salary: $130,000 - $150,000 base
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.
What You’ll Be Working On
- 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.
Must-Have Experience
- 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
Nice to Have
- Python experience
- 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)
Who Will Thrive in This Role
- 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
Why This Role Is Unique
- 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.
Salary : $130,000 - $150,000