Senior Data Engineer

Senior Data Modeler / Analytics Engineer – Phoenix, AZ

We’re hiring a Senior Data Modeler / Analytics Engineer to help lead a greenfield data transformation within a large, modern data organization. This is a high-impact, highly visible role focused on building enterprise-grade data models that power analytics, BI, and decision-making across the business.

You’ll sit at the intersection of data modeling, data engineering, and business partnership , helping define standards from scratch while working hands‑on with cloud‑native platforms.

Base Pay Range

$140,000.00/yr - $150,000.00/yr

What You’ll Do

Lead enterprise‑grade data modeling across analytics and data platform teams, with a primary focus on analytical, semantic, and kinetic models

Design and maintain conceptual, logical, and physical data models that accurately represent complex business domains

Build time‑variant and change‑aware models (e.g., SCD patterns) that support historical analysis and evolving business questions

Define and implement modeling standards, naming conventions, and governance in a greenfield environment

Partner with data engineers to architect and implement scalable, cloud‑native pipelines aligned to medallion architecture principles

Support and optimize analytics and BI consumption layers , ensuring performance, consistency, and usability

Serve as a technical advisor across data engineering and analytics teams on modeling best practices

Mentor and train junior data engineers on modern data modeling techniques and patterns

Translate technical data structures and tradeoffs into clear guidance for non‑technical stakeholders

Required Technical Skills

5–7+ years of hands‑on experience in data modeling, analytics engineering, or data engineering

Expert‑level proficiency in SQL , including complex transformations and time‑based modeling

Deep experience with conceptual, logical, and physical data modeling methodologies

Proven experience modeling slowly changing dimensions and longitudinal datasets

Strong understanding of analytics engineering best practices and semantic layer design

Hands‑on experience with Snowflake or comparable cloud data warehouses

Experience working within AWS‑based data platforms

Practical knowledge of medallion architecture and layered data design

Experience using dbt for data transformation, testing, and documentation

Familiarity with data modeling and diagramming tools such as SQL DBM and Lucid

Preferred Qualifications

Python for data engineering or analytical workflows

Experience with streaming platforms such as Kafka or Kinesis

Background in reverse engineering legacy data models , including Informatica‑based systems

Exposure to agent‑based or co‑pilot tooling to accelerate development

Prior experience integrating data models with enterprise BI tools

Why This Role

Opportunity to define data modeling standards from the ground up in a greenfield environment

High‑impact role with influence across analytics, data engineering, and platform teams

Direct collaboration with business and domain experts to shape analytics strategy

Strong long‑term investment in modern data platforms and cloud technologies

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Environmental Services, Technology, Information and Media, and Engineering Services

Benefits

Medical insurance

Vision insurance

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