Education: Bachelor's degree or related field
Experience: 10+ years
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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