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