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Data Platforms- Data Domain Architect Senior Associate

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Job Description - Data Platforms- Data Domain Architect Senior Associate

Job Description

Join a team where you will be a data champion where you will collaborate with business analysts and engineering teams to understand requirements, prioritize the product backlog, and solve problems throughout the development lifecycle.

As a Data Domain Architect Senior Associate, within the data platform team, you will work closely with the Product Manager to deliver enterprise-class, scalable, and resilient data platforms and focus on user consumption services supporting various modes such as batch and asynchronous processing.

Job Responsibilities:

  • Engage with users to understand business data usage and potential improvements. and establish and manage relationships with the analyst community.
  • Impact product strategy and priorities using technical expertise. and demonstrate intellectual curiosity in solving complex business problems.
  • Define features and capabilities for future user consumption services. and address disparate business needs with strong problem-solving and client engagement skills.
  • Translate business needs into stories for valuable outcomes. and adapt quickly to evolving client guidance while maintaining product objectives.
  • Collaborate with engineering teams to build scalable and resilient data warehouses across cloud analytic environments and leverage internal resources to deliver optimal solutions.
  • Maintain and refine product backlog through agile practices and serve as a liaison between product, engineering, and architecture teams to identify design approaches.
  • Validate delivered features against business requirements through testing and develop and maintain documentation to ensure data consistency and quality.

Required qualifications, capabilities, and skills:

  • 3+ years of experience with a strong technology background and communication skills; Educational or on-the-job experience in a technical field (e.g., Computer Science, Engineering).
  • Solid understanding of SQL, Python, and other data engineering tools and familiarity with data modeling, dimensional models, and semantic layers.
  • Flexibility and creativity in problem-solving and analytical skills.
  • Understanding of data platform technologies, including Snowflake, AWS Data Lake, and Info1.

About Us

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

About the Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
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