Job Description

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.

Lead Data Engineer / Data Engineering Supervisor

At APS, we’re building a modern enterprise data platform that powers analytics, AI, and operational insights across one of Arizona’s most critical industries. As a Lead Data Engineer, you’ll combine technical leadership with hands-on engineering, guiding a team of data engineers while designing scalable lakehouse architectures, enterprise data models, and high-performance data pipelines.This role is ideal for a technical leader who enjoys solving complex data problems, setting engineering standards, and communicating clearly with both technical and business partners.

Your work will directly support APS’s mission to deliver safe, reliable, and affordable energy for Arizona.

What You’ll Do:

Lead Technical Delivery

• Guide a team of data engineers in building and operating enterprise data solutions that support analytics, AI, and operational systems.
• Provide hands-on technical leadership in architecture, data modeling, and pipeline design.
• Establish engineering standards and best practices across data engineering and DataOps.

Design Scalable Data Architecture

• Design and evolve lakehouse architectures and enterprise data models that support governance, performance, and long-term scalability.
• Build and optimize ETL/ELT pipelines that deliver trusted, high-quality data to downstream platforms.

Ensure Platform Reliability

• Implement DataOps and DevOps practices that support monitoring, automation, and resilient data delivery.
• Drive improvements in pipeline reliability, performance, and observability.

Partner Across the Business

• Work closely with analytics teams, architects, and business stakeholders to translate complex business needs into scalable technical solutions.
• Communicate technical concepts clearly to both technical and non-technical audiences.

Develop Engineers & Foster Healthy Team Dynamics

• Coach engineers through design reviews, problem solving, and engineering best practices.
• Facilitate constructive technical discussions and navigate competing priorities or technical disagreements to reach strong solutions.

What We’re Looking For:

Deep Data Engineering Expertise

• Proven experience designing and building enterprise-scale data platforms and pipelines
• Strong expertise in data modeling (dimensional, relational, and modern lakehouse patterns)
• Advanced SQL and scripting skills used for data transformation, automation, and optimization
• Experience with ETL/ELT frameworks and distributed data processing

Data Platform & Cloud Experience

• Experience building solutions using modern cloud data platforms
• Familiarity with Oracle Cloud Infrastructure (OCI) data services such as:
  • OCI Data Integrator
  • Autonomous Data Warehouse
• Experience implementing DataOps, CI/CD, and platform monitoring practices

Technical Leadership

• Experience leading engineers or technical initiatives in complex data environments
• Ability to conduct architecture reviews, guide design decisions, and enforce engineering standards

We’re looking for someone who can:

• Communicate complex technical ideas clearly and concisely
• Partner effectively with both engineers and business leaders
• Facilitate productive conversations when technical perspectives differ

Strong candidates demonstrate technical depth, sound judgment, and the ability to guide teams through complex engineering decisions.

Minimum Requirements

Lead Data Engineer / 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.

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.