Director, Data Architecture & Engineering- Hybrid-Genesco

Description Job Summary 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. Job Responsibilities 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. Job Requirements 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. #LI-LC1