Solutions Architect - Data Solutions (MS SQL Server & Oracle, AWS) jobs in United States
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U.S. Bank · 5 hours ago

Solutions Architect - Data Solutions (MS SQL Server & Oracle, AWS)

U.S. Bank is dedicated to helping customers and businesses make informed financial decisions. They are seeking a Data Architect who will design and implement data solution architectures, ensuring compliance and collaboration with cross-functional teams to develop scalable and secure data systems.

BankingFinancial ServicesInsuranceMortgageWealth Management
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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

Qualification

Data modeling toolsPythonSQLData governanceCloud data platformsETL/ELT frameworksCommunication skills

Required

Bachelor's degree, or equivalent work experience
Five to eight years of related experience

Preferred

Expertise in data modeling tools (e.g., ERWin) and database design
Proficiency in coding languages such as Python and SQL
Strong understanding of data governance, security, privacy, metadata management, and compliance frameworks (e.g., GDPR, HIPAA, SOC2)
Deep understanding of modern data platforms and architectures, such as cloud data warehouses (Azure Synapse, Snowflake, BigQuery), data lakes, lakehouses, and real-time data pipelines
Experience with ETL/ELT frameworks (e.g., Azure Data Factory, dbt, Informatica, Talend) and strong knowledge of data integration patterns
Ability to communicate complex data concepts to technical and non-technical stakeholders

Benefits

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

Company

U.S. Bank

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At U.S.

Funding

Current Stage
Public Company
Total Funding
$991M
Key Investors
U.S. Department of the TreasuryMitsubishi UFJ Financial Group
2023-09-29Post Ipo Debt· $55M
2023-08-03Post Ipo Debt· $936M
1978-01-13IPO

Leadership Team

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John C Stern
CFO
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Shruti Patel
Executive Vice President & GM, CPO- Business Banking segment
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Company data provided by crunchbase