Open in the current public read path; this is not an employer guarantee.Last observed October 28, 2026
Classification
Modern power-system classification not yet published for this listing.Legacy source industry field: Utilities
Pay provenance
Employer-provided pay
Job Description
Connected, Committed, Trustworthy, Safe
Requirements
Seven years of related functional experience.
Bachelor's degree in Technology, Science, Business or related field, or 4 years of experience equivalent to the position.
Excellent communication skills, effective with varying organizational levels and skill set, and able to translate between technical and non-technical concepts.
Excellent Relationship Management and collaboration skills, with a track record of working as one team cross-organizationally to drive innovation and business results.
Experience managing the lifecycle of technical solutions.
Deep Subject Matter Expertise within the respective system domain products, platforms, processes and architecture.
Broad general knowledge of technology architecture, infrastructure, network, security and software principles and models.
Experience working in partnership with internal and external vendors.
Proven analytical, problem-solving and troubleshooting skills.
Extensive knowledge of future technology trends within area of expertise.
Demonstrated leadership on technical aspects of large scale projects.
Experience with delivery methodologies (Waterfall, Agile, Scrum) and operational models (ITIL) Experience and understanding of core IT Service Management functions, such as Change Management and Incident Management.
Experience implementing Medallion architecture (Bronze/Silver/Gold), feature pipelines, and data quality frameworks.
Experience building and maintaining internal data applications (Databricks apps, Lakebase, dashboards,) integrated with enterprise platforms.
Ability to translate ambiguous business needs into well-designed, maintainable data solutions.
Experience working with engineering standards including repository structures, CI/CD, testing frameworks, documentation, and release practices.
Experience supporting the operability and reliability of data systems, including monitoring, alerting, and troubleshooting.
Experience using AI-enabled development tools (e.g., Genie Code, Claude Code or similar) to enhance engineering productivity.
Experience working within federated or self-service data environments and enabling domain teams to publish and consume data products.
Experience developing production-quality applications and services using Python, APIs, and modern software engineering practices, with an emphasis on building maintainable, reusable data solutions.
Our culture is grounded in shared values and employee commitments that guide how we work, support one another, and grow together.