Solutions Architect - Data Solutions (MS SQL Server & Oracle, AWS)U.S. Bank • United States
Solutions Architect - Data Solutions (MS SQL Server & Oracle, AWS)
U.S. Bank
- United States
- United States
Über
As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals-no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we're building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other.
Job Description
U.S. Bank is seeking a detail-oriented Data Architect with relational database and logical/physical database modeling experience to contribute toward the success of our technology initiatives. Data Architects design and oversee the implementation of data solution architectures within organizations. They are responsible for translating business requirements into robust data models, ensuring compliance with relevant regulations, and collaborating with cross-functional teams to develop scalable and secure data systems.
Why Data Solution Architecture Matters:
Data solution architecture is essential for organizations aiming to leverage data effectively for decision-making, analytics, and AI. It ensures that data is not only stored but also optimized for accessibility, security, and future scalability.
Essential Responsibilities:
Design and implement data solution architectures aligned with business needs.
Translate business requirements into logical and physical data models.
Ensure data systems comply with industry regulations and organizational policies.
Collaborate with engineering, analytics, and business teams to deliver scalable and secure data solutions.
Optimize data storage, accessibility, and security for current and future needs.
Design and implement data pipelines to support machine learning and AI initiatives.
Collaborate with data scientists to ensure data quality, consistency, and availability for model training and deployment.
Develop and maintain data architectures that enable advanced analytics, predictive modeling, and AI-driven applications.
Integrate structured and unstructured data sources to support AI/ML use cases.Ensure data architectures are optimized for large-scale data processing and real-time analytics.
Support the deployment and monitoring of machine learning models in production environments.
Evaluate and recommend new technologies and frameworks for AI and ML data management.
Establish best practices for data versioning, lineage, and reproducibility in AI/ML workflows.
Basic Qualifications
Bachelor's degree, or equivalent work experience
Five to eight years of related experience
Preferred Skills
Expertise in
enterprise data architecture and database design
, including conceptual, logical, and physical data modeling.
Strong experience with
data modeling tools
(e.g.,
ERwin
) and hands-on design of
relational databases
such as
Microsoft SQL Server and Oracle
.
Proficiency in
SQL
and
Python
for data analysis, transformation, and architecture support.
Deep understanding of
modern data platforms and architectures
, including
cloud data warehouses
(Azure Synapse, Snowflake, BigQuery),
data lakes
,
lakehouse architectures
, and
real-time data pipelines
.
Strong knowledge of
data governance, security, privacy, metadata management, and data quality
, including experience working within
regulated or compliance-driven environments
(e.g., GDPR, HIPAA, SOC2).
Experience designing
scalable, secure, and high-performance data solutions
that support enterprise analytics and reporting needs.
Ability to translate
business requirements into technical data architectures
, collaborating closely with engineering, analytics, and business stakeholders.
Excellent communication skills, with the ability to clearly explain
complex data and architectural concepts
to both technical and non-technical audiences.
Knowledge/experience designing
AI-ready data architectures
that enable analytics, machine learning, and AI-driven applications.
Understanding of how data is structured and prepared for
machine learning workflows
, including feature-friendly data models and data reproducibility concepts.
Familiarity with
real-time and streaming data architectures
that support AI/ML use cases such as fraud detection, alerts, and personalization.
Awareness of the
machine learning lifecycle and MLOps concepts
, including data pipelines for model training, deployment, monitoring, and retraining (architect-level understanding).
Knowledge of how
AI and generative AI solutions
consume enterprise data, including secure data access, governance, and retrieval-based analytics patterns.
Location Expectations
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 (https://careers.usbank.com/global/en/disability-accommodations-for-applicants) .
Benefits:
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:
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
Review our full benefits available by employment status here (https://careers.usbank.com/global/en/benefits/us) .
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 (https://careers.usbank.com/verification-of-eligibility-for-employment) .
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: $111,605.00 - $131,300.00
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.
Sprachkenntnisse
- English
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