Senior Enterprise Data Architect

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 Be a part of transformational change where integrity matters, success inspires and great teams collaborate and innovate.
As the fifth-largest bank in the United States, we’re one of the country's most respected, innovative, ethical and successful financial institutions.
We’re looking for people who want more than just a job – they want to make a difference! U.
S.
Bank is seeking a Software Engineer who will contribute toward the success of our technology initiatives in our digital transformation journey.
We are a leading global bank committed to delivering exceptional financial services to our clients.
With a rich history spanning decades, we pride ourselves on innovation, integrity, and excellence in all aspects of our operations.
Join us in shaping the future of banking and financial services as we continue to expand our digital capabilities and leverage data-driven insights to drive business success.
Position Overview: As a Senior Data Architect specializing in Data Discovery, Data Mapping, Data Modeling, Data Quality, Enterprise Information Model adoption, different types of Database Storage Systems involving relational, NoSQL, azure cloud data solutions, and Big Data Analytical Platforms, you will play a pivotal role in designing, implementing, and optimizing our data architecture artifacts to support advanced data initiatives.
Leveraging your expertise in data domain and azure cloud data solutions, you will lead the development of scalable and pressure tested data models, and data solutions that empower decision-making across the organization.
This position offers a unique opportunity to work at the intersection of technology, finance, and analytics in a dynamic and collaborative environment.
Successful applicants will exemplify US Bank's ethical principles of uncompromising integrity, respect for others, accountability for decisions and actions, and good citizenship.
Key Responsibilities: Proficient Data Modeler with requirements analysis and data models design experience in Power Designer, Hackolade, and ERWin tools to contribute toward the success of our technology initiatives.
Proficiency with cloud computing platforms, particularly Azure or AWS Cloud Platforms.
Design and implement robust data architectures to support large-scale analytics workloads, ensuring scalability, reliability, and performance.
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Utilize strong experience with IBM Enterprise Information Model in the banking industry for data domains and deployments, ensuring alignment with industry-specific standards and practices.
Lead the integration of disparate data sources, including structured and unstructured data, to create a unified view for analytical purposes.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions and provide them referential architecture for proposed solution.
Evaluate and recommend Azure Cloud data technologies and tools to enhance the data architecture and analytics capabilities, staying abreast of industry trends and best practices.
Comprehensive knowledge of database storage systems, encompassing relational databases (SQL-Server, PostgreSQL, Oracle etc), NoSQL databases (Cassandra, MongoDB etc.
), data lakes, and lake house architectures for batch and real-time analytics.
Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
for batch and real-time analytical requirements.
Demonstrate proficiency in Target State Architecture and Referential Architecture by employing pattern-based solutioning to address use cases effectively.
Expertise in analyzing requirements for enterprise Operational System Data Models and building enterprise data assets.
Implement data governance policies and standards to ensure data quality, security, and compliances.
Proficiency in delivering Data as a Code by seamlessly integrating data models into CI/CD frameworks for automated deployments using gitlab/gihub etc.
Proficiency in programming(Spark/Python preferred) and design principles Excellent problem-solving and analytical skills, demonstrating meticulous attentions to details.
Strong communication, collaboration, and interpersonal abilities, facilitating effective collaboration across teams and stakeholders.
Basic Qualifications: Bachelor’s degree, or equivalent work experience Five to six years of relevant experience Preferred Skills: In-depth Banking Industry Knowledge: Understanding of banking operations, regulations, and compliance requirements to tailor data architecture solutions effectively.
Enterprise Data Management: Proficiency in data management strategies including data governance, data quality, and master data management.
Experience in Master Data Management for critical business entities supporting master data set across the bank.
Data Modeling: Strong expertise in conceptual, logical, and physical data modeling techniques to represent business requirements and translate them into scalable data solutions.
Enterprise Architecture Framework: Familiarity with industry-standard enterprise architecture frameworks such as TOGAF etc.
Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
Cloud Platforms: Knowledge of cloud platforms such as Azure, AWS, or Google Cloud Platforms for designing and implementing cloud-based data solutions.
Data Integration and ETL Tools: Proficiency in data integration tools to streamline data ingestion and processing pipelines.
Data Security and Privacy: Understanding of data security principles, encryption techniques, and privacy regulations (e.
g.
GDPR, CCPA) to ensure data compliance.
Business Intelligence and Analytics: Knowledge of BI and Analytical tools such as Tableau, PowerBI, and/or Alteryx etc.
Communication and Stakeholder Management: Strong communication skills to collaborate effectively.
Problem-solving and Analytical Thinking: Ability to analyze complex data challenges, identify root causes, and develop innovative solutions.
Continuous Learning and Adaptability.
Relevant certifications ( e.
g.
Microsoft Certified) are advantageous.
Azure Certifications like AZ-900, DP-900, and/or DP-100 are preferred.
Why Join Us: Opportunity to work at a globally recognized financial institution with a strong commitment to innovation and technology.
Competitive compensation package, including benefits and performance bonuses.
Access to cutting-edge tools and technologies to support your professional development.
Collaborative and Inclusive work environment.
If you are passionate about data architecture and thrive in a fast-paced, dynamic environment, we want to hear from you! Apply now to join our team and take your career to the next level.
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.
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 (some may vary based on role, location or hours): 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 EEO is the Law U.
S.
Bank is an equal opportunity employer committed to creating a diverse workforce.
We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.
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.
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: $116,280.
00 - $136,800.
00 - $150,480.
00 U.
S.
Bank will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.
Job postings typically remain open for approximately 20 days of the posting date listed above, however the job posting may be closed earlier should it be determined the position is no longer required due to business need.
Job postings in areas with a high volume of applicants, such as customer service, contact center, and Financial Crimes investigations, remain open for approximately 5 days of the posting listed date.