Data Platforms- Data Domain Architect Senior Associate

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.