Director, Data Architecture & Engineering- Hybrid-Genesco

The IT Director, Data Architecture & Engineering, leverages their experience to drive strategy and execution for the necessary data transfer, transformation and storage in support of Genesco’s business processes. This role will play a pivotal role in shaping the future of our data capabilities. They will drive innovation across our Data platforms and pathways with a focus on solving complex problems, embracing modern technologies, and delivering high-quality, trusted solutions. This role will provide thought leadership but also be a hands-on role leading a team of talented engineers and architects, fostering a culture of excellence and driving the development of cutting-edge platforms that empower our business and customers.

• →Provide strategic vision and technical leadership for both the Data Platform and transformation processes.
• →Collaborate with systems engineering, product, and business leaders to align platform development with business objectives.
• →Drive the adoption of best practices in data engineering, and software development.
• →Lead the development and evolution of our next-generation, storage mechanisms for our large data sets (Data Lake, Data Warehouse or Operational Data Store), enabling seamless data ingestion, processing, and analysis.
• →Architect and implement scalable data pipelines, optimizing for latency, cost, and throughput.
• →Define and enforce data management practices, including data modeling, ETL, and data warehousing principles.
• → Liaise with leaders from individual data domains to understand business priorities and drive data asset efforts from inception to release management.
• →Lead and manage the Database Administration function, providing guidance to ensure high availability, scalability, and performance.
• → Monitor data transformation efforts for accuracy, reliability and performance.

• Bachelor's degree required in information science, data management, computer science or related field preferred.
•  10+ years' experience in IT role, specializing in data engineering
•  Demonstrates problem solving ability that allows for effective and timely resolution of system issues including but not limited to production outages.
•  Strong, hands on experience in Data Modeling and Data Architecture with knowledge of modern approaches to Data Management
•  Experience in setting up Data Quality and Data Governance frameworks that are part of Data Engineering
• Ability to lead small to medium sized hybrid teams including vendors.
• Ability to evaluate risks and provide recommendations / solutions in a timely manner.
• Exceptional interpersonal skills and written communication skills
• 8+ years of SQL and additional querying on big data systems
• 5+ years of Data Modeling for defined business requirements
• 7+ years of ETL experience on any technology stack, preferably SQL and IBM
• 2+ years of working hands on cloud Data Engineering solutions preferred.
• Familiarity with data platforms like Databricks, Snowflake, Redshift, Airflow, Cognos, SQL, etc. preferred.
• Experience working with regulatory compliance frameworks such as GDPR and CCPA preferred.

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