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Xcel Energy

Senior Data Platform Engineer

Xcel Energy

. Design, administer, secure, govern and support Xcel Energy's enterprise Databricks Lakehouse Platform across AWS and GCP .

Posted 10/8/2026full-timeUnited StatesSenior💰 $130,000 - $165,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in managing and supporting Databricks Lakehouse Platform across AWS and GCP, with a strong focus on cloud-based data platform services, security, and operational performance. Proven ability to lead technical solutions, mentor team members, and collaborate across organizations to drive effective and scalable solutions.

Highest-signal resume keywords
Databricks Lakehouse Platform AdministrationAWS and GCP ServicesIdentity and Access ManagementTechnical LeadershipAgile and ITIL Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLPythonApache SparkTerraformDatabricks LakeflowZeroBusMLOpsDatabricks Asset BundlesData GovernanceETL/ELT Technologies
Soft Skills
Excellent Communication SkillsRelationship ManagementCollaboration SkillsAnalytical Problem-SolvingCoaching and Mentoring
Tools & Technologies
Unity CatalogCloud ResourcesCI/CD PipelinesData WarehousesData Lakes
Industry Keywords
Utility Industry ExperienceEnergy Industry ExperienceCloud SecurityOperational PerformanceDisaster Recovery

Tech Stack

Tools & technologies
ApacheAWSCloudETLGoogle Cloud PlatformITSMPythonSparkSQLTerraformUnity

About the role

Key responsibilities & impact
  • Design, administer, secure, govern and support Xcel Energy's enterprise Databricks Lakehouse Platform across AWS and GCP
  • Provide technical leadership for cloud-based data platform services
  • Manage platform operations, Unity Catalog, identity and access management, automation, monitoring, disaster recovery and cost optimization
  • Ensure the platform is scalable, reliable, secure and capable of supporting enterprise analytics, reporting and AI/ML initiatives
  • Lead and support solution lifecycle technical activities
  • Design solutions for strong user experience and operational performance
  • Integrate Enterprise Architecture, Security, Audit, Operations and Compliance into solutions
  • Provide input to cost and schedule estimation
  • Maintain overall integrity of system design and operation
  • Conduct peer reviews and approve system changes and technical solution designs
  • Coach and mentor less experienced team members
  • Partner across organizations to drive cost-effective solutions
  • Provide technical information to stakeholders
  • Contribute to strategic roadmaps and technical dependencies
  • Apply emerging industry capabilities and current technical knowledge
  • Review solution performance and assess system health
  • Track and address operational and technical debt risks
  • Provide escalated support for incident and problem management with vendors and internal teams
  • Use analytics to improve availability, reliability, efficiency and capacity
  • Collaborate with data engineering, infrastructure, architecture, security and business teams

Requirements

What you’ll need
  • 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 and ability to translate between technical and non-technical concepts
  • Excellent relationship management and collaboration skills
  • Expertise managing the lifecycle of technical solutions
  • Deep subject matter expertise within relevant system domain products, platforms, processes and architecture
  • Broad and deep knowledge of technology architecture, infrastructure, network, security and software principles and models
  • Experience working 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 developers in system deployment or operational troubleshooting
  • Experience with Waterfall, Agile, Scrum and ITIL
  • Experience with IT Service Management functions including Change Management and Incident Management
  • Five or more years of hands-on Databricks Lakehouse Platform administration and support in AWS and/or GCP environments
  • Experience with AWS and GCP services, IAM, networking, storage, security integration and resource governance
  • Experience administering Unity Catalog and enterprise identity, access, security and data governance controls
  • Experience with Databricks Lakeflow, ZeroBus and 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
  • Experience with Lakehouse Federation and secure federated data access
  • Experience deploying and maintaining Databricks workspaces, clusters and 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
  • Experience managing platform releases, upgrades, backup strategies and disaster recovery
  • Ability to collaborate with data engineering, data science, BI, infrastructure, architecture, security, operations and business teams
  • Utility or energy industry experience is a plus

Benefits

Comp & perks
  • Annual Incentive Program
  • Medical/Pharmacy Plan
  • Dental
  • Vision
  • Life Insurance
  • Dependent Care Reimbursement Account
  • Health Care Reimbursement Account
  • Health Savings Account (HSA) (if enrolled in eligible health plan)
  • Limited-Purpose FSA (if enrolled in eligible health plan and HSA)
  • Transportation Reimbursement Account
  • Short-term disability (STD)
  • Long-term disability (LTD)
  • Employee Assistance Program (EAP)
  • Fitness Center Reimbursement (if enrolled in eligible health plan)
  • Tuition reimbursement
  • Transit programs
  • Employee recognition program
  • Pension
  • 401(k) plan
  • Paid time off (PTO)
  • Holidays
  • Volunteer Paid Time Off (VPTO)
  • Parental Leave
  • Hybrid work model to enable collaboration and flexibility