Open in the current public read path; this is not an employer guarantee.Last observed October 8, 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
Ten 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 inovation and business results.
Expertise managing the lifecycle of technical solutions.
Deep Subject Matter Expertise within the respective system domain products, platforms, processes and architecture.
Broad and deep knowledge of technology architecture, infrastructure, network, security and software principles and models.
Experience working in partnership with internal and external vendors.
Excellent 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 coaching other developers in system deployment or operational troubleshooting.
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.
Five or more years of hands-on experience administering and supporting the Databricks Lakehouse Platform in AWS and/or GCP environments.
Experience with AWS and GCP cloud services, including IAM roles and policies, service accounts, networking, storage, security integration, and resource governance.
Experience administering Unity Catalog and enterprise identity, access, security, and data governance controls.
Experience developing and supporting scalable data ingestion solutions using Databricks Lakeflow, ZeroBus, and other Databricks-native ingestion capabilities.
Experience integrating Databricks with external applications, BI tools, databases, data warehouses, data lakes, ingestion platforms, and ETL/ELT technologies.
Experience with Databricks Lakebase, including connectivity, security, administration, and application integration.
Experience designing and supporting Lakehouse Federation and secure federated data access across platforms and data sources.
Experience configuring, deploying, and maintaining Databricks workspaces, clusters, and associated cloud resources using infrastructure as code, preferably Terraform.
Strong working knowledge of SQL, Python, Apache Spark, GitLab CI/CD pipelines, MLOps, and Databricks Asset Bundles.
Experience monitoring and optimizing Databricks performance, reliability, scalability, security, compliance, and cloud costs.
Demonstrated ability to collaborate with data engineering, data science, BI, infrastructure, architecture, security, operations, and business teams to deliver enterprise Databricks solutions.
Experience in the utility or energy industry is a plus.
Our culture is grounded in shared values and employee commitments that guide how we work, support one another, and grow together.