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U.S. Bank

Lead Cloud Data Engineer – Multi-Cloud Data Platforms

U.S. Bank

Senior Cloud Data Engineer at U.S. Bank responsible for designing and operating multi-cloud data products.

Posted 7/8/2026full-timeIrving • Illinois, Minnesota, Texas • 🇺🇸 United 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 implementing cloud-native data solutions using Azure and AWS, with a strong focus on data engineering best practices, data governance, and secure data access. Proven ability to mentor junior engineers and collaborate effectively with cross-functional teams to deliver high-quality data products.

Highest-signal resume keywords
Azure Data Platform ServicesAWS Data ServicesDatabricks (Spark, Delta Lake)Snowflake Data ModelingApache Spark Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ArchitectureData Pipeline DevelopmentSQL ProficiencyDimensional Data ModelingAPI-Based IntegrationsBatch and Streaming Data ProcessingData Governance CompliancePerformance TuningCost OptimizationData Mesh Concepts
Soft Skills
Problem-SolvingCollaborationMentoringTechnical GuidanceCommunication
Tools & Technologies
Azure Data FactoryAzure Data Lake StorageAzure Synapse AnalyticsAWS GlueS3Power BITableauData Cataloging ToolsMetadata Management ToolsEvent-Driven Integrations
Industry Keywords
Cloud-Native SolutionsData PrivacyRegulatory ComplianceIAMRBACOAuth 2.0TLS/mTLSJWTSelf-Service AnalyticsData Lineage

Tech Stack

Tools & technologies
ApacheAWSAzureCloudGraphQLSOAPSparkSQLTableau

About the role

Key responsibilities & impact
  • Design, build, and maintain cloud-native data pipelines and data products across Azure and AWS using Databricks and Snowflake.
  • Lead and contribute to the modernization and migration of on-prem and legacy data platforms to cloud-based solutions.
  • Implement batch and streaming data processing patterns using Spark and cloud-native services.
  • Partner with data governance, security, and risk teams to ensure data products comply with enterprise governance, data privacy, and regulatory requirements.
  • Enable secure data sharing and access patterns across domains and platforms using appropriate controls.
  • Define and promote data engineering best practices, including CI/CD, testing, observability, performance tuning, and cost optimization.
  • Collaborate with product owners and analytics teams to translate business requirements into well-modeled, high-quality datasets.
  • Work closely with cloud and security architects to implement secure, scalable, and resilient data solutions.
  • Support and mentor junior engineers through design reviews, code reviews, and technical guidance.

Requirements

What you’ll need
  • Bachelor’s degree, or equivalent work experience
  • Six to eight years of relevant experience
  • Experience with data architecture and platform design in large enterprises.
  • Knowledge of data sharing, data mesh, or domain-driven data architecture concepts.
  • Strong problem-solving skills and a track record of delivering scalable, efficient data solutions.
  • Strong hands-on experience with Azure Data Platform services, including: Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics (or Fabric equivalent experience)
  • Experience with AWS data services, such as AWS Glue, S3, and event-driven integrations.
  • Deep experience with Databricks (Spark, Delta Lake, performance tuning).
  • Strong working knowledge of Snowflake, including data modeling, ingestion patterns (e.g., Snowpipe), and data sharing.
  • Expertise in Apache Spark for large-scale data processing.
  • Experience building batch and near-real-time data pipelines.
  • Strong SQL skills and experience with dimensional and analytical data modeling.
  • Experience designing reusable, domain-oriented data products.
  • Experience with API-based integrations (REST; familiarity with SOAP and GraphQL is a plus).
  • Strong understanding of IAM, RBAC, OAuth 2.0, TLS/mTLS, and JWT.
  • Experience implementing secure data access patterns in cloud environments.
  • Familiarity with data cataloging, lineage, and metadata management concepts.
  • Experience enabling self-service analytics and BI using tools such as Power BI, Tableau, or equivalent.

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