Data Product Engineer

Company Description

Zayo provides mission-critical bandwidth to the world’s most impactful companies, fueling the innovations that are transforming our society. Zayo’s 141,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo’s communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises.

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. 

Responsibilities 

1. Data Knowledge: 

• Manage Metadata and Lineage: Ensure comprehensive documentation of data sources and their lineage to enhance transparency and traceability. 

• Critical Data Curation: Curate and maintain critical datasets to ensure accuracy, relevance, and accessibility for stakeholders. 

• Project Retrospective: Conduct post-project analyses to identify lessons learned and best practices for future improvements. 

• Consultations: Provide guidance and support to teams across the organization on data-related matters. 

2. Data Democratization: 

• Usage Analysis: Analyze data usage patterns to identify opportunities for improvement and optimization. 

• Data Product Development Facilitation: Collaborate with teams to facilitate the development of data products that meet business objectives. 

• Technical & Business Metadata Assessment: Assess technical and business metadata to ensure alignment with organizational goals and standards. 

3. Data Governance: 

• Compliance: Ensure adherence to data governance policies, regulations, and industry standards. 

• Access: Advisor for data access permissions and controls to protect sensitive information and maintain privacy. 

• Quality: Design and recommend quality assurance processes to maintain high standards of data accuracy and reliability. 

4. Data Transformation: 

• Ontology: Develop and maintain data ontologies to facilitate semantic understanding and interoperability across systems. 

• Data Platform Design Consultants: Collaborate with cross-functional teams to design and optimize data platforms that support business needs and objectives. 

Qualifications 

• Bachelor's in Computer Science, Data Science, Information Systems, or a related field.