We are seeking an experienced Manager, Data Engineering to lead end-to-end data management for a Retail Media Network platform. In this role, you will oversee data pipelines, cloud data platforms, governance, analytics enablement, and reporting solutions that support media performance, retail operations, and executive decision-making. You'll collaborate with cross-functional teams to deliver scalable, high-quality data products that drive business insights.

• Pay Range :$75/hr on w2 to $80/hr on w2

Responsibilities:

• Lead end-to-end data management across ingestion, transformation, integration, quality, governance, and analytics.

• Design and oversee scalable ETL/ELT pipelines using cloud platforms such as Snowflake, Google BigQuery, and Microsoft Azure.

• Manage data integration across multiple enterprise systems while ensuring reliability, performance, and data integrity.

• Define and enforce data quality, governance, metadata, and compliance standards.

• Oversee data modeling, semantic modeling (LookML), and analytics-ready datasets for self-service reporting.

• Partner with business stakeholders to translate requirements into scalable data solutions.

• Support retail media reporting, campaign performance measurement, audience insights, promotional analytics, and operational reporting.

• Lead data engineers and analysts while coordinating with IT, marketing, and business teams to deliver high-impact data initiatives.

• Develop documentation for data definitions, mappings, transformation logic, and business rules.

• Drive continuous improvements in data architecture, monitoring, pipeline performance, and reporting accuracy.

Required Qualifications:

• Proven experience in Data Engineering, Data Management, Business Intelligence, or Analytics, including leadership or management responsibilities.

• Strong expertise in SQL, ETL/ELT pipelines, data integration, and cloud data platforms.

• Hands-on experience with Snowflake, Google BigQuery, Microsoft Azure, and Azure data services.

• Experience with Looker and LookML for reporting and semantic data modeling.

• Proficiency in Python and data processing libraries such as Pandas, NumPy, or PySpark.

• Strong understanding of data governance, metadata management, data quality, and compliance best practices.

• Experience supporting retail, marketing, media, or advertising datasets; Retail Media Network experience is highly preferred.

• Excellent communication, stakeholder management, analytical, and problem-solving skills.

• Ability to lead cross-functional teams and deliver scalable, business-focused data solutions.

If you meet the required qualifications and are interested in this role, please apply today. 

The Solomon Page Distinction

Solomon Page offers a comprehensive benefit program for hourly employees. We pride ourselves on offering medical, dental, 401(k), direct deposit and commuter benefits to our employees, including freelancers - which sets us apart in the industries we serve.

About Solomon Page

Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn.

Opportunity Awaits.
 

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