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U.S. Bank

Lead Software Engineer, Databricks – Cloud

U.S. Bank

. Lead the design and delivery of scalable, governed data products on a Databricks Lakehouse across Azure and AWS .

Posted 11/9/2026full-timeUnited StatesSenior💰 $133,365 - $156,900 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing and delivering scalable data products using Databricks across Azure and AWS, with a strong focus on data quality, governance, and engineering best practices. Proficient in leading cross-cloud data integration and providing technical direction across distributed teams.

Highest-signal resume keywords
Databricks Data EngineeringPython ProgrammingCloud Data Engineering (Azure/AWS)Data Pipeline Development (Batch, CDC, Streaming)Data Governance and Quality

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonPySparkSQLETL/ELT DevelopmentDatabricksDelta LakeData ModelingCI/CDAutomated TestingData Quality
Soft Skills
Technical LeadershipInfluence Across TeamsCollaboration
Tools & Technologies
Databricks WorkflowsKafkaAzure Event HubsTerraformApache AirflowDatadogCollibraTableauPower BIGit
Certifications & Qualifications
Databricks CertificationSnowflake CertificationAzure CertificationAWS Certification
Industry Keywords
BankingFinancial ServicesRegulated IndustryBusiness BankingCommercial Banking

Tech Stack

Tools & technologies
AirflowApacheAWSAzureCloudETLKafkaPySparkPythonSnowflakeSparkSQLTableauTerraformUnity

About the role

Key responsibilities & impact
  • Lead the design and delivery of scalable, governed data products on a Databricks Lakehouse across Azure and AWS
  • Lead and guide Databricks data engineering across Bronze, Silver, and Gold layers, focusing on trusted, reusable Silver and Gold data products
  • Translate business requirements into scalable data architecture, engineering designs, delivery standards, and technical acceptance criteria
  • Remain hands-on in engineering and development, including coding, code review, and code management
  • Guide delivery of batch, CDC, streaming, API, and file-based data pipelines
  • Review data models, solution designs, and critical code for quality, security, scalability, performance, and engineering-standard alignment
  • Drive cross-cloud data integration and sharing across Azure, AWS, Databricks, and Snowflake
  • Embed data quality, lineage, governance, PII and PCI controls, monitoring, and reliability into data solutions
  • Establish engineering best practices for CI/CD, testing, source control, deployment, and observability
  • Provide technical leadership through influence across distributed onshore, offshore, and GCC engineering teams without direct people-management responsibility
  • Partner with product, architecture, governance, platform, and business stakeholders to resolve technical dependencies, risks, and delivery challenges

Requirements

What you’ll need
  • Bachelor’s degree, or equivalent work experience
  • Six to eight years of relevant experience
  • Strong hands-on experience with Python, PySpark, SQL, Spark SQL, and ETL/ELT development
  • Hands-on expertise with Databricks, Delta Lake, Unity Catalog, medallion architecture, and Databricks Workflows/Lakeflow
  • Experience building batch, CDC, streaming, API, and file-based pipelines, including Kafka or Azure Event Hubs
  • Strong cloud data engineering experience with Azure and/or AWS, including ADLS Gen2, Data Factory, S3, IAM, and related technologies
  • Knowledge of Snowflake, Delta Sharing, Delta UniForm, Apache Iceberg, and cross-cloud data sharing
  • Experience with data modeling, Power BI/DAX, data quality, governance, lineage, and PII/PCI controls
  • Strong knowledge of Git, CI/CD, automated testing, technical design, architecture reviews, and engineering best practices
  • Demonstrated ability to provide technical direction, code review, and engineering guidance across distributed teams through influence rather than direct authority
  • Experience working across multi-cloud environments
  • Experience with Terraform, Apache Airflow, Datadog, Collibra, Tableau, or Databricks Metric Views
  • Experience supporting AI/RAG or advanced analytics data use cases
  • Banking, financial services, or other regulated-industry experience
  • Experience working with Business Banking or commercial banking data products
  • Databricks, Snowflake, Azure, or AWS certifications
  • Must work from a U.S. Bank location three (3) or more days per week
  • Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies

Benefits

Comp & perks
  • 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
  • Incentive and recognition programs
  • Equity stock purchase
  • 401(k) contribution and pension