Diabetes Youth Families

Technical Solutions Owner, Enterprise Data Platforms

Diabetes Youth Families

full-time

Posted on:

Origin:  • 🇺🇸 United States • California, Massachusetts

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Salary

💰 $101,475 - $152,213 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudETLGoogle Cloud Platform

About the role

  • Define and maintain the product roadmap for data engineering initiatives in collaboration with Data Platform Leads and stakeholders
  • Translate business requirements into technical specifications and user stories
  • Prioritize backlog items based on business value, technical feasibility, and strategic alignment
  • Understand and articulate the data journey — from source systems to data pipelines, storage, transformation, and consumption
  • Collaborate with engineering teams to design scalable, secure, and efficient data solutions
  • Ensure data quality, lineage, and governance are embedded in all deliverables
  • Lead sprint planning, backlog grooming, and retrospectives using Agile methodologies
  • Manage JIRA boards, epics, and stories to ensure timely and quality delivery
  • Coordinate with the Release Manager to plan and communicate release schedules and deployment timelines
  • Serve as the primary point of contact for data engineering initiatives across business units
  • Communicate progress, risks, and dependencies clearly and regularly
  • Facilitate cross-functional collaboration to align on priorities and resolve blockers
  • Maintain comprehensive documentation of data flows, architecture decisions, and product features
  • Create and share release notes, deployment plans, and user guides
  • Ensure stakeholders are informed and engaged throughout the product lifecycle

Requirements

  • Bachelor's or Master's degree in software engineering / data engineering or any engineering discipline
  • 3+ years of experience in data engineering, analytics, or technical product ownership
  • Strong understanding of data platforms, ETL/ELT pipelines, cloud technologies (e.g., AWS, Azure, GCP), and data governance
  • Hands-on experience with Agile tools like JIRA, Confluence, and version control systems
  • Excellent communication, collaboration, and stakeholder management skills
  • Experience working with cross-functional teams in a fast-paced environment
  • Preferred Skills: Familiarity with modern data stack tools (e.g., Databricks dbt, Snowflake, )