Senior Data Platform Engineer - Lakehouse & Cloud (Hybrid)

Xcel Energy

Eau Claire (WI)

Hybrid

USD 130,000 - 165,000

Full time

2 hours ago
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Benefits offered by this job

Annual Incentive Program
Medical/Pharmacy Plan
Dental
Vision
401(k) plan
PTO

Job summary

Xcel Energy is seeking a Senior Data Platform Engineer to design, administer, and secure the Databricks Lakehouse Platform across AWS and GCP. You will lead platform operations, Unity Catalog, IAM, automation, monitoring, and DR, collaborating with data engineering, security, and business teams to enable enterprise analytics and AI/ML initiatives.

The role requires deep cloud data platform expertise, strong communication, and a track record of delivering scalable, cost-conscious solutions in a

Qualifications

  • 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 and relationship management skills.
  • Experience with IT service management concepts (Change/Incident management).
  • Experience with delivery methodologies (Waterfall/Agile/Scrum).

Responsibilities

  • Lead and support solution lifecycle technical activities.
  • Ensure solutions meet Enterprise Architecture, Security, Audit, Operations and Compliance.
  • Provide input to strategic roadmap and dependencies.
  • Collaborate with data engineering, infrastructure, security and business teams.
  • Monitor solution health and manage operational risks.

Skills

Databricks Lakehouse
AWS
GCP
SQL
Python
Apache Spark
GitLab CI/CD
MLOps
Terraform
Security governance

Education

Bachelor's degree in Technology/Science/Business or related field
10 years related experience

Tools

Unity Catalog
IAM & policies
Terraform
Databricks workspaces

Job description

Xcel Energy is seeking a Senior Data Platform Engineer to design, administer, and secure the Databricks Lakehouse Platform across AWS and GCP. You will lead platform operations, Unity Catalog, IAM, automation, monitoring, and DR, collaborating with data engineering, security, and business teams to enable enterprise analytics and AI/ML initiatives.

The role requires deep cloud data platform expertise, strong communication, and a track record of delivering scalable, cost-conscious solutions in a

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