Data Engineering Supervisor

Date: Jan 6, 2026

Location: PHOENIX, AZ, US, 85004-3903

Company: APS

Our present and future success depends on the creative and dedicated people of our company who demonstrate the principles outlined in the APS Promise: Design for Tomorrow, Empower Each Other and Succeed Together.

Summary

Data Engineering Supervisor

At APS, we’re building a modern data ecosystem to power innovation and deliver insights that matter. As a Data Engineering Supervisor on our Data Platform & Delivery Team, you’ll lead the design and operation of cutting-edge lakehouse architectures, enterprise data models, and data pipelines. Your work ensures reliable, high-quality data capabilities that fuel analytics, AI, reporting, and operational workflows—helping APS achieve its mission of safety, reliability, and affordability.

What your day would be like:

You are responsible for:

- Lead a team of data engineers to deliver enterprise-scale data solutions using Agile practices.

- Design and optimize lakehouse architecture and enterprise data models for scalability and governance.

- Develop and maintain robust data pipelines supporting analytics, AI, and operational workflows.

- Drive platform reliability and implement best practices in data engineering and DevOps/DataOps.

- Collaborate with stakeholders to translate business needs into technical solutions.

- Champion Agile ceremonies and processes to maximize team velocity and value delivery.

Who we’re looking for:

- Proven success leading technical teams and delivering enterprise-scale data solutions.

- Ability to design scalable, governed architectures aligned with business needs.

- Strong communication and collaboration skills with a customer-centric mindset.

- Skilled in Agile delivery and DevOps practices.

- Familiarity with Oracle Cloud data technologies (e.g., OCI Data Integrator, Oracle Autonomous Data Warehouse).

- Expertise in data modeling (relational, NoSQL, dimensional) and ETL/ELT development.

- Strong SQL and scripting skills for automation and data engineering.

Minimum Requirements

Data Engineering Supervisor

- Bachelor's degree in Computer Science, Business or other job related field from an accredited college or university

- PLUS eight (8) years progressively responsible directly related experience in area/s of assignment is required to obtain an advanced understanding of information and/or communication systems, operating systems, network communications, equipment and infrastructure.

- In lieu of Bachelor's degree, a combination of education and experience equaling 12 years is required. Demonstrated leadership skills required.

Preferred Special Skills, Knowledge, or Qualifications

- Demonstrated success leading engineering teams/equivalent technical teams and delivering enterprise‑scale data solutions.

- Ability to translate business needs into scalable, governed architectural solutions.

- Strong communication, stakeholder partnership, and cross‑functional collaboration skills.

- Takes a customer-centric approach to problem solving;

- Skilled in agile delivery and DevOps practices.

- Familiarity with Oracle Cloud data technologies (preferred) like OCI Data Integrator, Oracle Autonomous Data warehouse, etc..

- Understanding of data warehousing/lakehouse patterns, medallion architecture and modern analytical architectures.

- Familiarity in data modeling (conceptual, logical, physical), including relational, NoSQL, and dimensional modeling.

- Experience with ETL/ELT development and orchestration, DevOps/DataOps concepts.

- Strong SQL and scripting skills for data engineering and automation.

Major Accountabilities

- Lead, mentor, and develop data engineers; manage workload, agile delivery, and vendor engagement.

- Oversee enterprise data lakehouse architecture, ensuring alignment with data governance, domain models, and APS standards.

- Direct data modeling practice across conceptual, logical, and physical layers, including dimensional models, semantic layers, and curated datasets.

- Supervise design and optimization of batch, streaming, and real‑time pipelines; enforce CI/CD, code quality, testing, and observability best practices.

- Collaborate with other departments in the organization to meet data needs.

- Evaluate and integrate new data platform technologies; drive automation, performance improvements, and platform innovation.

- Build strong stakeholder relationships and communicate progress, risks, and architectural decisions.

- Manage team budget, tooling investments, and vendor contracts.

- Familiarity with cloud technologies ( Oracle Cloud Analytics, Oracle Autonomous Data warehouse, OCI Data Integrator etc.).

Export Compliance / EEO Statement

This position may require access to and/or use of information subject to control under the Department of Energy's Part 810 Regulations (10 CFR Part 810), the Export Administration Regulations (EAR) (15 CFR Parts 730 through 774), or the International Traffic in Arms Regulations (ITAR) (22 CFR Chapter I, Subchapter M Part 120) (collectively, 'U.S. Export Control Laws'). Therefore, some positions may require applicants to be a U.S. person, which is defined as a U.S. Citizen, a U.S. Lawful Permanent Resident (i.e. 'Green Card Holder'), a Political Asylee, or a Refugee under the U.S. Export Control Laws. All applicants will be required to confirm their U.S. person or non-US person status. All information collected in this regard will only be used to ensure compliance with U.S. Export Control Laws, and will be used in full compliance with all applicable laws prohibiting discrimination on the basis of national origin and other factors. For positions at Palo Verde Nuclear Generating Stations (PVNGS) all openings will require applicants to be a U.S. person.

Pinnacle West Capital Corporation and its subsidiaries and affiliates ('Pinnacle West') maintain a continuing policy of nondiscrimination in employment. It is our policy to provide equal opportunity in all phases of the employment process and in compliance with applicable federal, state, and local laws and regulations. This policy of nondiscrimination shall include, but not be limited to, recruiting, hiring, promoting, compensating, reassigning, demoting, transferring, laying off, recalling, terminating employment, and training for all positions without regard to race, color, religion, disability, age, national origin, gender, gender identity, sexual orientation, marital status, protected veteran status, or any other classification or characteristic protected by law.

For more information on applicable equal employment regulations, please refer to EEO is the Law poster. Federal law requires all employers to verify the identity and employment eligibility of every person hired to work in the United States, refer to E-Verify poster. View the employee rights and responsibilities under the Family and Medical Leave Act (FMLA).

Arizona Public Service is a smoke free workplace.

Hybrid Role:

Employees in hybrid roles will work both in their home offices and alongside their colleagues at an APS facility or other work location for meaningful in person engagement.

As of January 2025, hybrid-role employees will be asked to work about 40% of their time in person at an APS or other (non-home office) location.

- Employees in Hybrid roles are required to reside in Arizona (or NM for Four Corners-based employees). Role types are subject to change based on business need.

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