U.S. Bank · 7 hours ago
Data Lakehouse Engineering Lead
U.S. Bank is on a journey to help customers and businesses make better financial decisions. They are seeking a Data Lakehouse Engineering Lead to design, build, and optimize enterprise-scale data platforms using Databricks, focusing on advanced analytics and real-time processing across multi-cloud environments.
BankingFinancial ServicesInsuranceMortgageWealth Management
Responsibilities
Define and execute the technical roadmap for Databricks-based data platforms, ensuring alignment with enterprise architecture and business priorities
Integrate Databricks with AWS/Azure services (e.g., S3, EC2, Glue) and manage DBU consumption through autoscaling and cost optimization strategies
Lead technical architecture of DataBricks Platform and its integration with 3rd party providers in a dual cloud setup
Enable customers to connect and execute robust ETL/ELT pipelines using PySpark and Spark SQL. Optimize cluster performance, job orchestration, and resource utilization for efficiency and cost control
Implement data governance policies, enforce access controls, and ensure compliance with regulatory standards using tools like Unity Catalog
Champion Agile methodologies and ensure disciplined use of Jira for backlog management, sprint planning, and progress tracking
Stay ahead of emerging technologies and Databricks features. Lead proof-of-concepts for new capabilities and drive automation for data workflows
Guide and mentor engineering teams, conduct code reviews, and enforce best practices. Foster collaboration and continuous improvement across cross-functional teams
Excellent stakeholder management and communication skills
Ability to lead large-scale, cross-functional projects in an Agile environment
Familiarity with Unity Catalog, Delta Live Tables, and advanced Databricks features
Qualification
Required
Bachelor's degree, or equivalent work experience
Six to eight years of relevant technical experience
Five or more years of leading a software engineering team
8+ years in data architecture, platform architecture, or related roles, with 3+ years in Databricks platform leadership
Experience with multi cloud complexities, Azure/AWS preferred
Expertise in PySpark, Spark SQL, and cloud services (AWS/Azure)
Strong understanding of data architecture, governance, and security frameworks
Hands-on experience with CI/CD tools (GitLab, Jenkins) and infrastructure-as-code (Terraform)
Excellent stakeholder management and communication skills
Ability to lead large-scale, cross-functional projects in an Agile environment
Familiarity with Unity Catalog, Delta Live Tables, and advanced Databricks features
Preferred
Preferred Financial Services experience or similar regulated industry experience
Benefits
Healthcare (medical, dental, vision)
Basic term and optional term life insurance
Short-term and long-term disability
Pregnancy disability and parental leave
401(k) and employer-funded retirement plan
Paid vacation (from two to five weeks depending on salary grade and tenure)
Up to 11 paid holiday opportunities
Adoption assistance
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
Company
U.S. Bank
At U.S.
H1B Sponsorship
U.S. Bank has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (20)
Funding
Current Stage
Public CompanyTotal Funding
$991MKey Investors
U.S. Department of the TreasuryMitsubishi UFJ Financial Group
2023-09-29Post Ipo Debt· $55M
2023-08-03Post Ipo Debt· $936M
1978-01-13IPO
Leadership Team
Recent News
2025-12-24
2025-12-17
Company data provided by crunchbase