Director of Data Engineering

Job Description

Please note that we're offering an industry-leading compensation and relocation package for the right candidate. Apply to learn more!

We are seeking a visionary Data Engineering Leader to drive the strategic direction and execution of our global data platform, analytics, and data management initiatives. In this role, you will lead high-performing teams, build scalable data infrastructure, and champion a data-driven culture across the organization. You’ll partner closely with business and technology stakeholders to design and implement cloud-based data solutions that support both operational excellence and strategic growth.

The ideal candidate brings deep technical expertise in data engineering, cloud platforms, and business intelligence, along with a proven track record of leading teams, delivering results, and fostering innovation in fast-paced environments.

Responsibilities include:

• Leading the design and execution of enterprise data architecture, data platforms, and analytics strategies.
• Building and mentoring global data engineering and analytics teams.
• Driving engineering best practices in data quality, governance, observability, and scalability.
• Partnering with stakeholders to define KPIs and enable self-service analytics through a BI Center of Excellence.
• Ensuring data security, privacy, and regulatory compliance across cloud and hybrid environments.
• Managing project portfolios, budgets, and resource allocation.
• Promoting a culture of continuous improvement, innovation, and cross-functional collaboration.

Must-Haves:

• 10+ years of experience in data engineering and analytics.
• 6+ years in a leadership role managing high-performing teams.
• Deep expertise in SQL, data warehousing, pipelines, and cloud platforms (e.g., Snowflake, BigQuery).
• Strong programming skills with Python, Java, and/or Spark.
• Experience in cloud data architecture, dimensional modeling, and performance optimization.
• Proven ability to define metrics, monitor quality, and scale solutions.
• Excellent communication, strategic thinking, and stakeholder management skills.
• Background leading technical modernization programs in retail or similarly customer-centric industries.

Nice-to-Haves:

• Experience with data governance, stewardship, and compliance.
• Familiarity with medallion architecture, advanced analytics, and machine learning.
• Hands-on experience with GCP, AWS, or Azure.
• Bachelor's degree in Computer Science or related field.