Senior Data Engineer

Data Engineer III (Enterprise Data Modeling)

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Hybrid | Phoenix, AZ

$120,000 - $150,000 + Bonus

U.S. Citizens and Green Card Holders Only

No sponsorship available now or in the future

Overview

We are partnering with a well-established enterprise organization that is investing heavily in the modernization of its data ecosystem and cloud-based data platform. As part of this initiative, they are seeking a Data Engineer III who combines strong hands-on data engineering capabilities with deep expertise in enterprise data modeling.

This role is ideal for someone who enjoys building data solutions while also taking ownership of the organization's data modeling strategy. You will play a key role in designing and implementing scalable data solutions, leading conceptual, logical, and physical data modeling efforts, and helping establish enterprise-wide data standards that support analytics, reporting, and operational use cases across the business.

This position is hybrid in Phoenix, Arizona.

What You'll Do

Design, develop, and maintain scalable data pipelines and integrations supporting enterprise data initiatives.

Lead the creation and evolution of conceptual, logical, and physical data models acros multiple business domains.

Partner with business stakeholders, architects, analysts, and engineering teams to translate business requirements into scalable enterprise data solutions.

Develop and implement enterprise data structures that support operational reporting, analytics, and self-service BI initiatives.

Analyze source systems, profile data, and define data mappings to ensure high-quality, sustainable data solutions.

Build and optimize dimensional models, including fact and dimension structures, for analytics and reporting workloads.

Establish and promote enterprise modeling standards, naming conventions, governance processes, and data design best practices.

Participate in architecture discussions and contribute to the long-term evolution of the organization's modern data platform.

Mentor junior engineers and provide technical leadership on data modeling, data architecture, and engineering best practices.

Collaborate closely with Data Engineers, Data Architects, BI Developers, and business leaders to ensure alignment across data initiatives.

Required Qualifications

6+ years of experience in Data Engineering, Data Warehousing, or Data Architecture.

Strong hands-on experience building and supporting enterprise data platforms and data integration solutions.

Extensive experience designing and leading:

Conceptual data models

Logical data models

Physical data models

Proven expertise with enterprise data modeling methodologies, including:

Normalized data models

Dimensional modeling (Star/Snowflake schemas)

Data Vault modeling

Experience using enterprise data modeling tools such as:

ER/Studio, Erwin, sqlDBM or Similar modeling platforms

Strong SQL skills and experience working with large-scale relational databases and data warehouses.

Demonstrated ability to translate complex business requirements into scalable, reusable enterprise data solutions.

Experience with data profiling, source-to-target mapping, data lineage, and data quality practices.

Strong understanding of data governance, metadata management, and enterprise data management principles.

Excellent communication skills with the ability to collaborate effectively across technical and business teams

Preferred Qualifications

Experience with dbt and modern data transformation frameworks.

Knowledge of Medallion Architecture (Bronze, Silver, Gold).

AWS cloud platform experience.

Informatica (IICS or PowerCenter).

Git-based development practices and CI/CD pipelines.

Data governance, cataloging, and metadata management tools.

SQL Server modernization or migration experience.

Master Data Management (MDM) experience.

Experience supporting enterprise analytics and reporting environments.

Ideal Candidate

The ideal candidate is a hands-on Data Engineer first, but possesses the depth of experience typically found in a Data Architect or Senior Data Modeler. xsgimln They have successfully led enterprise data modeling initiatives, established data standards and governance processes, and helped organizations modernize their data platforms while remaining actively involved in design, development, and implementation.

If you are passionate about building scalable data solutions and shaping the enterprise data foundation that powers critical business decisions, we'd love to speak with you.