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U.S. Bank

Systems Architect 2 – Cloud Data Engineer, Databricks

U.S. Bank

. Provide technical direction, guidance, and support for architectural development across multiple technology disciplines, platforms, and applications .

Posted 11/3/2026full-timeUnited StatesSeniorLead💰 $111,605 - $131,300 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 scalable Databricks Lakehouse architectures and high-volume ETL/ELT pipelines, while ensuring compliance with enterprise architectural standards. Possesses strong problem-solving and collaboration skills to optimize data solutions across cloud and on-premises environments.

Highest-signal resume keywords
Databricks Lakehouse ArchitecturePython DevelopmentETL/ELT Pipeline DesignOracle Database MigrationData Architecture Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
DatabricksPythonPySparkDatabricks SQLDelta LakeSQL Performance TuningOracle SQLPL/SQLETL/ELT DesignData Integration
Soft Skills
Problem-SolvingCross-Functional CollaborationMentoring
Tools & Technologies
AWS S3Databricks WorkflowsUnity CatalogCloud Object Storage
Industry Keywords
Data ProcessingDistributed ComputingCI/CDFinancial DataTransactional Data

Tech Stack

Tools & technologies
AWSCloudETLOraclePySparkPythonSQLUnity

About the role

Key responsibilities & impact
  • Provide technical direction, guidance, and support for architectural development across multiple technology disciplines, platforms, and applications
  • Facilitate creation of architectural blueprints documenting design and systems integration
  • Ensure projects comply with approved enterprise architectural standards and are implemented successfully
  • Coordinate communication to management and teams regarding project development, strategy, and goals
  • May function as a Project Leader
  • Provide direction and mentoring for less experienced staff
  • Design and implement scalable Databricks Lakehouse architectures for enterprise data processing, analytics, and high-volume workloads
  • Develop data solutions using Databricks, Python, PySpark, Databricks SQL, and Delta Lake
  • Modernize and migrate Oracle SQL and PL/SQL workloads to Databricks and cloud-based data platforms
  • Design and implement high-volume ETL/ELT pipelines, data ingestion, transformation, orchestration, and integration solutions
  • Optimize Databricks performance, including SQL queries, data layouts, compute utilization, jobs, and distributed data processing
  • Integrate Databricks with Oracle databases, AWS S3, cloud object storage, enterprise applications, and analytics platforms
  • Establish reusable data architecture, engineering, CI/CD, security, and platform standards using Databricks best practices
  • Partner with cloud, infrastructure, database, security, and application teams to troubleshoot issues and deliver scalable, secure, and supportable data solutions

Requirements

What you’ll need
  • Bachelor's degree, or equivalent experience
  • Seven to nine years of experience in a specialized area of technology architectural design process, or ten or more years of experience across technology disciplines
  • Strong hands-on experience with Databricks, Databricks Lakehouse, Delta Lake, and distributed data processing
  • Advanced development skills in Python, PySpark, Databricks SQL, and SQL performance tuning
  • Strong experience with Oracle databases, SQL, and PL/SQL, including stored procedures, packages, and complex data workloads
  • Proven experience with Oracle-to-Databricks, legacy-to-cloud, or cloud data platform migrations
  • Experience designing high-volume ETL/ELT pipelines, data integration, data ingestion, and transformation solutions
  • Experience with Databricks Workflows/Lakeflow Jobs, Unity Catalog, and AWS S3/cloud object storage
  • Strong knowledge of data architecture, distributed computing, performance optimization, CI/CD, and source control
  • Strong troubleshooting, problem-solving, and cross-functional collaboration skills
  • Experience with financial or transactional data preferred
  • 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
  • Must work from a U.S. Bank location three or more days per week

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
  • Pension