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Lead Azure Data Engineer

Wolverine Worldwide

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Original Job Summary

About Wolverine Worldwide

Wolverine Worldwide is a global marketer of branded footwear, apparel, and accessories. With a footprint spanning approximately 200 countries, we empower, engage and inspire our consumers at every step.

Role Overview

The Lead Azure Data Engineer acts as a technology expert and architect in designing, developing and implementing data solutions using Microsoft Azure. The role is enterprise-level with responsibilities including solution development, delivery, technology best practices, and 24/7 support.

Primary Duties

  • Collaborate with customers and team members to determine requirements.
  • Design and implement business application systems.
  • Manage scheduling, cost, and controls in IT operations.
  • Coordinate enterprise-wide priorities and resolve issues.
  • Support disaster recovery initiatives and change management.
  • Provide 24-hour on-call support, including evenings and weekends.

Knowledge, Skills, and Abilities

  • Bachelor’s in Computer Science or equivalent experience.
  • 10+ years in data warehouse architecture and data delivery.
  • Expertise in Microsoft Azure data engineering products (Azure Synapse, Python Notebooks, SQL Server Development, DevOps).
  • Understanding of monitoring tools like Azure Monitor and Application Insights.
  • Experience with SAP AFS and related business processes is a plus.
  • Strong analytical, problem-solving, and communication skills.

Working Conditions

This is a full time, 100% remote role. Michigan based candidates are preferred and must be located in Eastern or Central Time Zones.

Salary

Salary ranges from $128,000 to $168,000 per annum.

Key Skills/Competency

  • Microsoft Azure
  • Data Engineering
  • ETL
  • Data Warehousing
  • DevOps
  • Cloud Architecture
  • Business Analysis
  • Disaster Recovery
  • Python
  • SQL Server

How to Get Hired at Wolverine Worldwide

🎯 Tips for Getting Hired

  • Customize your resume: Tailor your experience to Azure data solutions.
  • Highlight certifications: Emphasize cloud and data engineering credentials.
  • Prepare for technical interviews: Refresh Azure and SQL skills.
  • Research Wolverine Worldwide: Understand their brands and markets.

📝 Interview Preparation Advice

Technical Preparation

Review Microsoft Azure Synapse and pipelines.
Practice Python coding and SQL optimization.
Study cloud monitoring tools usage.
Brush up on data modeling techniques.

Behavioral Questions

Describe a time you solved a complex problem.
Explain managing competing project priorities.
Discuss collaboration with cross-functional teams.
Share experience with 24/7 support challenges.