Lead Azure Data Engineer Job at Wolverine Worldwide

Wolverine Worldwide Rockford, MI

Summary
The Lead Azure Data Engineer is responsible for leading a team of data engineers in the design, development, and implementation of data solutions using Microsoft Azure technologies. The ideal candidate will have a strong understanding of Microsoft Azure data platform services, as well as experience in data warehousing, data integration and modeling. This position will also be responsible for mentoring and developing junior data engineers, and for ensuring the quality and compliance of all data solutions.

Please note: This 100% Remote role is open only to candidates based in the Eastern or Central Time Zones.

Wolverine Worldwide is a global marketer of branded footwear, apparel, and accessories. With an established global footprint that spans approximately 200 countries and territories, as well as a rock-solid infrastructure, Wolverine Worldwide is dedicated to advancing the following brands that comprise the ever-expanding portfolio: Bates, Chaco, Cat Footwear, Harley Davidson Footwear, Hush Puppies, Merrell, Saucony, Sperry, Sweaty Betty and Wolverine. Wolverine Worldwide’s continued success is driven by our ability to stay true to our simple mission: we empower, engage and inspire our consumers – every step of the way.

Current Employees interested in applying for this role, use the Current Employee tab in the top right corner to apply.
Job Description
  • Effectively operates as a technology expert in Azure Data Engineering
  • Leads cross functional team members and contributes to building modern data warehousing solutions from the ground up including blueprinting, architecture/design, implementation, and hypercare support
  • Interfaces with all levels of management, customers, and team members to determine requirements
  • Estimates work effort (resources, timeline, cost) for multiple projects across teams/areas of expertise
  • Provides guidance and support on data governance, security, and privacy across the cloud environment
  • Leads and/or assists team members and customers with problem solving related to application performance, usage, and general support activities Writes system documentation, user manuals, and develops/conducts user training
  • Accountable for disaster recovery initiatives and change management standards and procedures
  • Establishes, monitors, and improves service delivery levels including reliability, availability, accuracy, serviceability, and cost Assists IT Management in the formulation and execution of complex objectives to meet short and long-term company strategic goals
  • Performs duties consistent with the company’s AAP/EEO goals and policies
Knowledge, Skills and Abilities Required
  • Bachelor’s degree in Computer Science or a related field or equivalent work experience required
  • 8+ years of proven experience in the design and implementation of data warehouse architecture as well as data delivery, data modeling, ETL tools, master data management and deploying highly automated and documented solutions
  • 5+ years of experience with Microsoft Azure data engineering products: Azure Synapse Studio, Pipelines, Python Notebooks, Analytic Pools (serverless), SQL Server Development, and DevOps
  • Strong understanding of Azure Monitor, Application Insights, Cost Management, or equivalent tooling
  • Proven experience with Python programming and data frames
  • Experience with Microsoft Power BI a plus
  • Experience with Microsoft Purview a plus
  • Strong communicative, analytical, problem solving and organizational skills
  • Ability to establish and maintain effective working relationships at all levels of the organization
  • Ability to mentor other team members in cloud technologies
100% Remote
#LI-Remote #LI-MM1
The above statements are intended to describe the general nature and level of work being performed and are not intended to be an exhaustive list of all responsibilities, duties and skills which may be required.
We are committed to a diverse workforce, we are an Equal Opportunity Employer (Minorities/Women/Veterans/Disabled).



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