- Lead a global data engineering team, manage all day-to-day data engineering and data operations on the Data platforms globally, ensuring optimum end-user experience and business continuity whilst mitigating risks and meeting delivery milestones.
- Mentor, support, and manage team members and ensure they follow well architected principles focused on Operational Excellence, Cost optimization, Metadata Management, Security, Reliability and Performance efficiency.
- Design, document, and build reusable components and frameworks at scale to support analytics products.
- Design, document and implement product features in collaboration with Products, business and Technology teams
- Design and build Canonical Data and Dimensional Modeling at an Enterprise level to support various analytics initiatives such as Descriptive, Diagnostic/Exploratory and Predictive analytics capabilities
- Participating, recommending best practices in all phases of DevOps architectural activities, including concept definition, requirements analysis, design, development, integration, installation, operations, maintenance, and decommissioning.
- Be a thought leader by helping to define purpose-built Data Platform strategy and lead, influence other solution Architects and Engineers towards building best in class Data and Analytics platforms.
- Design Data Architecture leveraging Microsoft Azure, Snowflake and Databricks native capabilities to support Batch and Streaming pipelines for Analytics, Data Sharing, Data Science and API use cases
- Bachelor’s degree in computer science or related field
- 8 years of experience in Data Architecture, Dimensional Modeling and understanding Data Ingestion and transformation design patterns and frameworks
- 5 years’ experience in a public cloud environment with a focus around Data Architecture and Big Data Technologies
- Prior experience working with Event driven Architecture and solutions including ETL, ELT, Master Data Management, Reference Data Management, and Metadata Management
- Implementation experience and expert knowledge in Snowflake and Databricks platforms focused on modern data architecture approaches, Data Pipelines & enabling BI and Analytics solutions using Snowflake native capabilities
- Demonstrated Influential leadership experience driving architecture solutions for various data and analytics use cases and influencing multiple stakeholders
- Analytical and problem-solving skills
- Acute attention to detail
- Public cloud experience, preferably Azure, AWS, or Google preferred.
- Prior Retail Industry experience is preferred
- Prior experience operating in an Agile Scrum methodology is preferred.
Foot Locker Benefits:
- Employee Discount
- Paid Time Off
- Medical | Dental | Vision Coverage
- 401(k) | Roth 401(k)
- Stock Purchase Plan
- Life Insurance
- Flexible Spending Account
- Opportunities for Advancement
- Tuition Reimbursement for Qualified Courses
- Strong Company Culture
- Employee Resource Groups