Arizona Public Service - APS
Data Engineering Supervisor
Arizona Public Service - APS, Phoenix, Arizona, United States, 85003
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.
Education and Experience
Bachelor's degree in Computer Science, Business, or related field from an accredited college or university.
PLUS
eight (8) years progressively responsible directly related experience in areas of assignment.
In lieu of a Bachelor's degree, a combination of education and experience equal to 12 years is required. Demonstrated leadership skills required.
Preferred Special Skills, Knowledge, or Qualifications
Demonstrated success leading engineering 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).
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.
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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.
Education and Experience
Bachelor's degree in Computer Science, Business, or related field from an accredited college or university.
PLUS
eight (8) years progressively responsible directly related experience in areas of assignment.
In lieu of a Bachelor's degree, a combination of education and experience equal to 12 years is required. Demonstrated leadership skills required.
Preferred Special Skills, Knowledge, or Qualifications
Demonstrated success leading engineering 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).
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.
#J-18808-Ljbffr