Manager, Data Engineering

Job Description Our team is looking for a high-performing Data Engineer who will be responsible for the design, development, implementation and on-going support of a data driven software platform. You enjoy and thrive in a fast-paced environment on multiple projects simultaneously, including both enhancements as well as new project development. The candidate must be a self-starter with a sense of urgency and a commitment to quality and professionalism. Responsibilities Analyze complex and ambiguous business requirements and partner with product, analytics, and engineering teams to design scalable data solutions. Design, develop, and optimize complex SQL transformations and data pipelines in Snowflake and Databricks. Build and maintain high-performance ELT/ETL pipelines using PySpark, SQL, and Python for large-scale data processing. Develop advanced Snowflake database objects including: Stored Procedures, User Defined Functions (UDFs), Views, Tasks, Streams, Dynamic Tables Design scalable data models (fact/dimension, star schema, normalized) to support reporting, analytics, and downstream applications. Optimize Snowflake warehouse performance through query tuning, clustering, partitioning strategies, and cost optimization. Design, build, test, monitor, troubleshoot, and maintain robust data pipelines in Databricks using Delta Lake and PySpark. Ensure data quality through validation frameworks, automated testing, monitoring, and alerting. Troubleshoot data pipeline and database performance issues, perform root cause analysis, and implement long-term solutions. Collaborate with frontend, analytics, and data science teams to deliver trusted datasets and optimize data access patterns. Develop reusable SQL frameworks and coding standards to improve maintainability and consistency. Create technical documentation, data lineage, and knowledge transfer materials. Participate in code reviews and promote SQL, PySpark, and data engineering best practices. Serve as an escalation point for production issues and provide technical leadership for complex data initiatives. Qualifications 5+ years of professional experience in Data Engineering. 5+ years of advanced SQL development writing complex queries, CTEs, window functions, stored procedures, and performance tuning. 4+ years of experience with Snowflake, designing and creating objects and optimizing for best performance 3+ years of experience with Databricks and PySpark building scalable distributed data pipelines. Strong Python programming skills for data engineering and automation. Experience designing high-performance ELT/ETL pipelines processing large-scale datasets. Strong understanding of dimensional data modeling, data warehousing concepts, and lakehouse architecture. Strong understanding of data quality, testing, monitoring, and observability. Experience working with Git and modern software development practices. Excellent analytical, troubleshooting, and performance tuning skills. Strong communication and collaboration skills with both technical and non-technical stakeholders. Ability to manage multiple priorities in a fast-paced environment. Preferred Experience Strong experience with Snowflake as an enterprise data warehouse. Experience building scalable data pipelines using Databricks and Apache Spark (PySpark). Experience with Delta Lake, Unity Catalog, and modern lakehouse architectures. Experience with Business Intelligence tools such as Tableau or Power BI. Experience integrating REST APIs and third-party data sources. Experience supporting analytics and data science teams. Experience with CI/CD pipelines and Git-based development workflows. Experience with cloud platforms (AWS, Azure, or GCP) is preferred, with AWS experience considered a plus rather than a primary requirement. Benefits Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off. Application Process If you require accommodation or assistance with the application or onboarding process specifically, please contact View email address on click.appcast.io. All your information will be kept confidential according to EEO guidelines. Compensation Compensation Range: USD $88,540.00 - USD $141,687.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 8/24/2026. #J-18808-Ljbffr