Manager, Data Engineering & Intelligence

The Manager, Data Engineering & Intelligence, leads a team responsible for building and maintaining scalable data pipelines, data warehouses, and analytical platforms that empower our retail business with actionable insights. The role is critical in enabling data-driven decision making through effective data infrastructure and intelligence solutions. The Manager, Data Engineering & Intelligence, combines strong technical expertise in data engineering with leadership skills and a business mindset to deliver high-quality, timely, and reliable data products across the organization. Responsibilities: * Lead and mentor a team of data engineers and analysts * Design and maintain scalable, high-performance data pipelines and warehouses * Ensure data quality, integrity, security, and compliance throughout the data lifecycle * Collaborate with business and analytics teams to translate requirements to solutions * Evaluate and recommend new data technologies, platforms, and methodologies to improve efficiency * Champion data quality, governance, and compliance standards * Communicate progress, challenges, and insights to senior leadership and partners Required Qualifications: * 7+ years of experience in data engineering or analytics, with at least 3 years in a leadership or management role * Bachelor's degree in computer science, data science, engineering, or related field * Expert use of SQL/Python * Skilled in Data Engineering tools (Airflow, dbt, Spark, Kafka) * Proficiency with BI Tools (Power BI) * Skilled in Cloud Data Platforms (AWS, Azure, GCP) * Proficient knowledge of SOC-1, GDPR, and CCPA compliance Preferred Qualifications: * Master's degree in computer science, data science, or business administration * AWS Certified Data Engineer * Microsoft Certified: Azure Data Engineer Associate, or Google Professional Data Engineer * Strong leadership, collaboration, and communication skills * Proven success in managing cross-functional teams * Retail or consumer goods industry experience * Experience with Fabric, Snowflake, Databricks, or similar modern data platforms * Familiarity with machine learning pipelines and analytics enablement * Strong understanding of metadata management and data cataloging practices * Demonstrated ability to innovate and automate within data engineering frameworks Behavioral Traits for Success: * An analytical, inquiring, and critical mind that solves complex problems with ingenuity * Driven to produce high-quality work within established standards of quality and accuracy * Drive, determination, and self-disciplined approach to achieving results * Communication style is concise, factual, and professional * Comfortable making decisions within area of expertise * Tests new ideas and concepts before releasing * Earns trust by consistently achieving high-quality standards in a timely manner * Able to manage multiple priorities Working Environment: * Typical office environment with climate control and sufficient lighting, ergonomic desk/chairs * Hybrid work schedule Your Performance Will Be Measured On: Your performance will be measured by your ability to achieve annual department objectives and corporate goals which include but are not limited to the following. * Decision-making, judgment, and execution * System reliability and scalability * Team performance * Performance metrics * Accuracy * Adherence to data policies * Project delivery timelines * Compliance adherence * Data integrity * Stakeholder Feedback

Created: 2026-04-02