Director, Data Architecture & Engineering- Hybrid-Genesco

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.

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