Director, Data Engineering
Starcom Mediavest Group Germany Gmbh, New York, NY, United States
Company Description
Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.
Job Description
We are seeking an experienced
Data Engineer
with
Manager- or Director-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 tradeoffs, 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 USMSTACompliance@publicis.com.
Compensation Range: $135,375.00 - $216,684.00 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 04/28/2026.
All your information will be kept confidential according to EEO guidelines.
Veterans Encouraged to Apply.
#LI-MB5
Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.
Job Description
We are seeking an experienced
Data Engineer
with
Manager- or Director-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 tradeoffs, 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 USMSTACompliance@publicis.com.
Compensation Range: $135,375.00 - $216,684.00 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 04/28/2026.
All your information will be kept confidential according to EEO guidelines.
Veterans Encouraged to Apply.
#LI-MB5