Data Platforms- Data Domain Architect Senior Associate

JPMorgan Chase & Co.•Columbus, OH

About The Position

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.

Requirements

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.

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.