Lead Cloud Data Engineer - Multi-Cloud Data Platforms

Relha LLC; Irving, Northern (TX, KY); Hybrid; USD 133,000 - 157,000; Full time

Job summary

U.S. Bank is seeking a Senior Cloud Data Engineer to design, build, and operate enterprise-grade data products across Azure, AWS, Databricks, and Snowflake. You will collaborate with product managers, analytics, governance, and security to ensure scalable, compliant data solutions.

The role focuses on modernizing legacy platforms to cloud-native data products, enabling secure data sharing, and driving best practices in CI/CD, testing, and performance optimization.

Qualifications

• 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 SQL skills and data modeling experience.
• Hands-on experience with Azure Data Factory, Azure Data Lake Storage, and Azure Synapse Analytics.

Responsibilities

• Design, build, and maintain cloud-native data pipelines and data products across Azure and AWS using Databricks and Snowflake.
• Lead 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 governance, security, and risk teams to ensure data products comply with enterprise governance and regulatory requirements.
• Enable secure data sharing and access patterns across domains and platforms with proper 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 datasets.
• Work with cloud and security architects to implement secure, scalable data solutions.
• Support and mentor junior engineers through design reviews and code reviews.

Skills

Azure Data Factory

Azure Data Lake Storage

Azure Synapse Analytics

Databricks

Snowflake

Spark

Power BI

Tableau

REST APIs

Kafka

Education

Bachelor’s degree, or equivalent work experience

Tools

Databricks Platform

AWS Glue

Git

S3

Job description

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.

Job Description

We are seeking a highly skilled Senior Cloud Data Engineer to join our Data Product Engineering team. This role is hands-on and delivery-focused, responsible for designing, building, and operating enterprise-grade data products across a multi‑cloud ecosystem, including Azure, AWS, Databricks, and Snowflake. The ideal candidate brings deep experience in modern cloud data platforms, distributed data processing, and secure data integration. You will collaborate closely with product managers, analytics teams, data governance, and security partners to ensure data products are scalable, reliable, compliant, and reusable across the enterprise. This role plays a key part in evolving our data platforms from legacy and first‑generation architectures to cloud‑native, domain-oriented data products while adhering to financial services governance and control requirements.

Key Responsibilities

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.

Basic Qualifications

Bachelor’s degree, or equivalent work experience

Six to eight years of relevant experience

Skills Should Include

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.

Experience building batch and near-real-time data pipelines.

Strong SQL skills and experience with dimensional and analytical data modeling.

Integration & Messaging

Experience with API-based integrations (REST; familiarity with SOAP and GraphQL is a plus).

Hands-on experience integrating with API gateways.

Understanding of messaging and streaming platforms such as Kafka, MQ, AWS SQS, or RabbitMQ.

Security & Governance

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.

Analytics Enablement

Experience enabling self-service analytics and BI using tools such as Power BI, Tableau, or equivalent.

Preferred Qualifications

Support AI initiatives through the data platform and data products.

Prior experience in financial services or other highly regulated industries.

Professional certifications in Microsoft Azure and/or AWS.

Master’s degree in a relevant technical field.

***This role requires working from a U.S. Bank location three (3) or more days per week.***

If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:

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

Review our full benefits available by employment status here.

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

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.

Posting may be closed earlier due to high volume of applicants.