What are the responsibilities and job description for the Data Engineering Supervisor position at Arizona Public Service - APS?
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.
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.