Senior Data Engineer
$125,000–$159,400 year
On-site · Denver, Colorado, United States or Minneapolis, Minnesota, United States
Job Summary
Senior Data Engineer responsible for leading technical aspects of IT solution delivery, cloud-based data platform engineering and data product delivery; design solutions aligned with Enterprise Architecture, Security, Operations and Compliance; mentor teammates; manage vendor activities; design modern data pipelines and curated data products using Databricks; drive continuous improvement in cost, security, operation, and functionality; collaborate with cross-functional teams and stakeholders to deliver scalable data architectures and strategies.
Required 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 skills, effective with varying organizational levels and skill set
- Excellent Relationship Management and collaboration skills, with a track record of working as one team cross-organizationally to drive innovation 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
- Preferred: Advanced degree in Computer Science, Engineering, Data Science, or related field
- Hands-on experience with Databricks (jobs/workflows, Delta tables, performance tuning, Unity Catalog, access controls)
- 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 scalable data architectures and delivery plans
- Experience establishing engineering standards including repository structures, CI/CD, testing frameworks, documentation, and release practices
- Experience improving operability and reliability of data systems (monitoring, alerting, SLAs/SLOs)
- Experience using AI-enabled development tools (e.g., Genie Code, Claude Code or similar) to enhance engineering productivity
- Databricks Data Engineering Professional Certification
- Experience working within federated or self-service data environments and enabling domain teams to publish and consume data products
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