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
  • 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.
  • Establish and manage relationships with the analyst community.
  • Impact product strategy and priorities using technical expertise.
  • Demonstrate intellectual curiosity in solving complex business problems.
  • Define features and capabilities for future user consumption services.
  • Address disparate business needs with strong problem-solving and client engagement skills.
  • Translate business needs into stories for valuable outcomes.
  • 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.
  • Leverage internal resources to deliver optimal solutions.
  • Maintain and refine product backlog through agile practices.
  • Serve as a liaison between product, engineering, and architecture teams to identify design approaches.
  • Validate delivered features against business requirements through testing.
  • Develop and maintain documentation to ensure data consistency and quality.
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