Manager Data Engineering

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 w2Responsibilities: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.#LI-VP2