Director, Data Engineering
Floor & Decor
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Lead, mentor, and grow a team of 8 data engineers, fostering a culture of accountability, technical excellence, continuous learning, and collaboration.
- Establish and model agile delivery practices, including sprint planning, backlog grooming, retrospectives, and iterative delivery.
- Build career development paths for team members and proactively recruit to scale the team as the platform evolves.
- Serve as the primary IT interface for business stakeholders seeking data engineering capabilities, acting as both a trusted advisor and an accountable delivery partner.
- Own the intake, prioritization, and roadmap planning process for data engineering work requests, balancing business urgency with technical capacity.
- Partner with business leaders to identify and develop new data capabilities that drive competitive advantage — including reporting, analytics, and data product development.
- Oversee day-to-day delivery and operational support of the current SQL Server-based data platform, ensuring high availability, performance, and data integrity.
- Establish and enforce engineering standards for data quality, testing, CI/CD, documentation, and code review.
- Define and monitor SLAs/SLOs for data platform services and hold the team accountable to operational excellence.
- Embed data security and governance principles into all aspects of platform design and delivery.
- Partner with Information Security, Compliance, and Architecture teams to ensure data assets are properly protected, cataloged, and governed.
- Champion data stewardship practices across both engineering and business teams.
- Collaborate closely with infrastructure and cloud engineering teams to ensure underlying compute, storage, and networking resources are performant, well-maintained, and cost-optimized.
- Serve as a key stakeholder in infrastructure capacity planning and cloud cost management conversations.
- Define and own the enterprise vision and multi-year roadmap for migrating from SQL Server to Azure Databricks, including the Lakehouse architecture, Delta Lake design, and data pipeline modernization strategy.
- Develop a compelling, business-aligned business case — quantifying value, risk, and ROI — and present it to IT and company leadership to secure executive sponsorship and funding.
- Build and maintain alignment across business, IT, Finance, and Infrastructure stakeholders throughout the migration lifecycle.
- Lead phased execution of the migration, ensuring continuity of existing operations while progressively transitioning workloads to the new platform.
Requirements
- Bachelor’s degree in Business Administration, Computer Science, Information Systems or equivalent combination of education and experience.
- A solid understanding of key Business Intelligence trends
- 5-10+ years of IT Management experience
- Ability to lead multiple projects in a large complex organization.
- Ability to work closely in a collaborative team environment, and lead teams and project deliverables.
- Excellent oral and written communication skills, including comfort with communication with senior leadership.
- Excels working in an innovative, entrepreneurial, and growing organization.
- 10+ years of progressive experience in data engineering, with at least 4–5 years in a senior leadership role.
- Demonstrated experience leading teams of 10 to 50 engineers, including performance management, hiring, and organizational development.
- Proven track record of delivering large-scale, complex data platform initiatives on time and within budget.
- Hands-on expertise with SQL Server and deep experience in cloud-based data platform technologies, particularly Azure Databricks, Azure Data Factory, Azure Data Lake Storage (ADLS), and Delta Lake.
- Experience defining and executing cloud migration strategies — ideally SQL Server to Azure — including business case development and executive stakeholder management.
- Strong grounding in agile delivery methodologies and experience instilling these practices within data engineering teams.
- (Strongly Preferred) Retail industry experience, with an understanding of retail data domains such as merchandising, supply chain, store operations, loyalty, and omnichannel analytics.
- Exceptional communication and executive presence — able to translate complex technical concepts into clear business value for non-technical audiences.
- Strong strategic thinking with the ability to develop multi-year roadmaps and build the business cases to fund them.
- Demonstrated ability to build cross-functional alignment and navigate organizational dynamics to drive large-scale change.
- Financially literate, with experience managing team budgets and articulating technology investment trade-offs.
Benefits
- Bonus opportunities & career advancement opportunities at every level
- Programs that help you reach your financial goals: 401k with company match, Employee Stock Purchase Plan, and Referral Bonus Program
- Medical, Dental, Vision, Life, and other Insurance Plans (subject to eligibility criteria)
- Work-life balance, including: Paid vacation and sick time for eligible associates
- Paid holidays plus a personal holiday
- Paid Volunteer Time Off that starts on Day 1
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringSQL ServerAzure DatabricksAzure Data FactoryAzure Data Lake StorageDelta Lakecloud migration strategiesagile delivery methodologiesdata platform initiativesdata quality standards
Soft Skills
leadershipcommunicationcollaborationstrategic thinkingteam managementorganizational developmentaccountabilityinnovationexecutive presencecross-functional alignment
Certifications
Bachelor’s degree in Business AdministrationBachelor’s degree in Computer ScienceBachelor’s degree in Information Systems