Manager, Data Engineering & Intelligence
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
- 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
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Manager
Number of Employees
1,001-5,000 employees
