Manager, Data Engineering

Company description As the traditional marketing funnel collapses and fragmentation increases, clients rely on Publicis Collective to connect media, data, technology, and teams by what matters most – business outcomes. We’re a full-service media agency where nearly half our experts focus on data, research, analytics, technology, or strategy. At Publicis Collective, 100% of our 2,200 global practitioners can access advanced insights and scale media with precision through our proprietary OS, powering marketing that drives measurable business performance and transformation. Overview We are seeking an experienced Data Engineer with Manager-level maturity to design, build, and own the data foundations that power analytics, optimization, AI/ML, and advanced decisioning platforms. This role is hands‑on and composes system architecture, with end‑to‑end ownership across data pipeline creation, platform standards, and production reliability, while also influencing roadmap direction and mentoring other engineers. Responsibilities Data Platform Architecture & Design Own the design and architecture of scalable, cloud‑based data platforms built on Databricks, Apache Spark, and Delta Lake Define and evolve data schemas, domain models, and canonical datasets to support analytics, ML, and downstream applications Establish platform standards for batch and streaming pipelines, data contracts, and schema evolution Partner with product, analytics, and data science teams to translate business objectives into robust technical architectures Data Pipeline Engineering & Implementation Design, build, and maintain production‑grade ETL/ELT pipelines using Databricks, Spark, SQL, and Python Implement high‑performance transformations for large‑scale datasets with a focus on reliability, scalability, and cost efficiency Support both batch and near‑real‑time data processing use cases Ensure pipelines produce feature‑ready, analytics‑ready datasets for reporting and machine learning Operational Ownership & Reliability Own production data pipelines end to end, including monitoring, alerting, and incident response Define SLAs for data freshness, availability, and quality, and ensure consistency across platforms Implement data quality checks, validation rules, and observability to detect drift and failures early Lead root cause analysis and remediation for complex pipeline or data issues Governance, Security & Data Management Implement and enforce data governance, access controls, and lineage using tools such as Unity Catalog Design secure data sharing patterns and support privacy safe, clean room ready architectures where required Ensure compliance with internal data standards, privacy requirements, and security procedures Technical Leadership & Influence Act as a technical leader and mentor for other data engineers, setting guidelines and reviewing designs Contribute to platform roadmap planning, technical decision making, and prioritization Collaborate multi‑functionally with engineering, AI/ML, analytics, and client‑facing teams Drive continuous improvement in engineering standards, tooling, and development workflows Qualifications Core Technical Expertise Strong hands‑on experience with Databricks, Apache Spark, and Delta Lake in production environments Advanced proficiency in Python for data engineering and pipeline development Expert level SQL skills, including performance tuning and complex transformations Deep understanding of data modeling, schema design, and large scale data processing patterns Data Engineering & Platform Experience Proven experience designing and operating scalable data pipelines supporting analytics and AI/ML workloads Experience with cloud data architectures on AWS and/or Azure Strong understanding of ETL/ELT patterns, batch vs. streaming trade‑offs, and pipeline orchestration Experience optimizing data systems for performance, cost, and reliability Governance, Quality & Operations Experience implementing data governance, access controls, and lineage Familiarity with data quality frameworks, observability, and monitoring in production systems Hands‑on experience supporting production SLAs, incident management, and operational runbooks Leadership & Collaboration Experience operating at a senior IC, manager, or director level with clear technical ownership Ability to translate ambiguous business requirements into clear technical solutions and architectures Strong communication skills with both technical and non‑technical stakeholders Demonstrated ability to mentor engineers and lead by example through hands‑on contribution Preferred / Nice to Have Experience supporting AI/ML or advanced analytics platforms Familiarity with feature engineering and model‑ready data pipelines Exposure to DataOps / MLOps practices Experience working in complex, multi‑team or platform‑oriented environments Additional information Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent. 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. If you require accommodation or assistance with the application or onboarding process specifically, please contact View email address on click.appcast.io. Compensation Range: $88,540.00 - $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 5/17/16. All your information will be kept confidential according to EEO guidelines. #LI-CJ4 #J-18808-Ljbffr