Data Product Engineer

Zayo Group • Denver, CO

66d • $77,100 - $118,600

About The Position

Our Data Product Engineer role is pivotal in ensuring the effective management and utilization of data assets within Zayo. Responsibilities include serving as a subject matter expert in metadata and lineage, facilitating data democratization initiatives, overseeing data governance compliance, and leading data transformation efforts. This role requires a blend of technical expertise in areas such as data engineering and cloud platforms, along with strong communication skills to collaborate with stakeholders across various teams. Our Data Product Engineer plays a crucial role in driving data-driven decision-making and innovation, ultimately contributing to the organization's success in leveraging its data assets effectively. Strong analytical, problem-solving, communication, and interpersonal skills are essential for success in this role.

Requirements

• Bachelor's in Computer Science, Data Science, Information Systems, or a related field.
• Minimum of five (5) years proven experience in data engineering, data management, or related roles.
• Strong understanding of data governance principles, practices, and technologies.
• Proficiency in data modeling, metadata management, and data transformation techniques.
• Excellent communication and collaboration skills, with the ability to interact effectively with stakeholders at all levels of the organization.
• Experience with cloud platforms (e.g., AWS, Azure, Snowflake) and data governance tools (e.g., Collibra, Alation) is a plus.
• Certification in relevant areas such as data governance, data management, or cloud computing is desirable.

Responsibilities

• Manage Metadata and Lineage: Ensure comprehensive documentation of data sources and their lineage to enhance transparency and traceability.
• Curate and maintain critical datasets to ensure accuracy, relevance, and accessibility for stakeholders.
• Conduct post-project analyses to identify lessons learned and best practices for future improvements.
• Provide guidance and support to teams across the organization on data-related matters.
• Analyze data usage patterns to identify opportunities for improvement and optimization.
• Collaborate with teams to facilitate the development of data products that meet business objectives.
• Assess technical and business metadata to ensure alignment with organizational goals and standards.
• Ensure adherence to data governance policies, regulations, and industry standards.
• Advise on data access permissions and controls to protect sensitive information and maintain privacy.
• Design and recommend quality assurance processes to maintain high standards of data accuracy and reliability.
• Develop and maintain data ontologies to facilitate semantic understanding and interoperability across systems.
• Collaborate with cross-functional teams to design and optimize data platforms that support business needs and objectives.

Benefits

• Excellent Health, Dental & Vision Insurance
• Retirement 401(k) Savings Plan
• Generous paid time off policy including paid parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees