Publicis Groupe
From Publicis Groupe's careers page
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Overview How You’ll Make an Impact Epsilon is seeking a Senior Databricks Developer to join our development team.
Company description A division of Publicis Groupe, Publicis Digital Experience is a network of top-tier agencies designed to develop capabilities and solutions to enable growth and provide scaled access to the digital capabilities of Publicis Groupe in service of our clients. Together, the Publicis Digital Experience portfolio endeavors to create value at the intersection of technology and experiences to connect brands and people. Our model to transform every brand experience will help clients navigate, develop, and activate commerce in a way that will provide them with a future-proof model for modern marketing. With our unique expertise in consumer engagement, CRM, and commerce, Publicis Digital Experience powers brands and empowers people in a new era of creativity. An ever-changing landscape and the need for fluid thinking is just part of our problem-solving nature. Which means we're untethered from any specific medium or method—we go where ideas will work best. We are an expanding network with more than 5,000 employees, with agency brands throughout our global offices. Publicis Digital Experience brands include Razorfish, Digitas, Arc Worldwide, Saatchi Saatchi X, Plowshare, 3Share, Epsilon Auto and the Publicis Commerce Exchange. Overview How You’ll Make an Impact Epsilon is seeking a Senior Databricks Developer to join our development team. You will design, build, test, deploy, and support scalable data engineering solutions on the Databricks Lakehouse Platform. Your primary responsibilities will include developing reliable batch and streaming pipelines, transforming large data sets, and delivering governed, high-quality data products for analytics, marketing, and CRM use cases. Work together to win together: The Senior Databricks Developer will report to a Senior Manager, Development. You will partner with Quality Assurance, Business Systems Analysts, Project Managers, data architects, and client delivery teams to translate business requirements into secure, supportable data solutions. Innovate with purpose: As part of the technical delivery team, you will use Databricks, Apache Spark, Delta Lake, and modern engineering practices to design reusable frameworks, improve pipeline performance, automate deployments, and implement solutions according to statement-of-work requirements and timelines. Responsibilities What You’ll Achieve Impact: You will integrate and transform client data at scale, enabling targeted marketing campaigns, customer analytics, reporting, and custom CRM solutions through trusted Lakehouse data products. Career Growth: If successful, the Senior Databricks Developer may gain exposure to additional clients and complex data modernization initiatives. You may also have an opportunity to progress to a Lead Databricks Developer role, mentor junior engineers, establish engineering standards, and strengthen technical leadership skills. Qualifications Who You Are What you’ll bring with you: Strong experience working as part of a technology team, translating business requirements and functional specifications into technical designs, source-to-target mappings, data flows, and operational documentation. Hands-on experience developing scalable ETL and ELT pipelines using Databricks, Apache Spark, PySpark, Python, and SQL, including ingestion from files, APIs, relational databases, cloud object storage, and streaming sources. Experience designing Delta Lake solutions using bronze, silver, and gold data layers; implementing schema enforcement and evolution; and applying data quality, reconciliation, unit testing, and validation controls. Experience optimizing Spark workloads through appropriate partitioning, file sizing, caching, join strategies, cluster configuration, and query tuning. Working knowledge of Databricks Workflows, Jobs, notebooks, repos, and production support practices is required. Initiative - You possess a strong can-do attitude, take ownership of tasks and deliverables, and independently learn new Databricks capabilities, cloud services, and client domains. Problem Solving - Excellent analytical skills with the ability to diagnose data, code, performance, and production pipeline issues quickly and methodically. Collaboration - Proven experience working across engineering, QA, architecture, analysis, project management, and client teams. You communicate technical concepts clearly in verbal and written form. Organization - You are deadline-focused, well organized, and detail-oriented, with the ability to manage multiple development priorities, releases, and production support needs. Why you might stand out from other talent: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. Experience delivering marketing, customer data, automotive, or CRM solutions. 5+ years of data engineering, database development, or data warehouse development experience. 3+ years of hands-on Databricks and Apache Spark development experience in a production environment. Knowledge and experience with: Databricks Lakehouse Platform, Apache Spark, PySpark, Python, and advanced SQL. Delta Lake, medallion architecture, Unity Catalog, data governance, and access controls. Databricks Workflows and Jobs, notebooks, repos, Asset Bundles, and CI/CD practices. Azure Data Lake Storage, Amazon S3, or comparable cloud object storage and services. Git-based source control and automated deployment tools such as Azure DevOps or GitHub Actions. Spark and SQL performance tuning, cluster sizing, cost optimization, and production monitoring. Batch and streaming ingestion, including Auto Loader and Structured Streaming. Data modeling, ETL/ELT, APIs, file processing, and integration with relational databases. Databricks Data Engineer Associate or Professional certification is a plus. Additional information The Power of One starts with our people! To do powerful things, we offer powerful resources. Our best-in-class wellness and benefits offerings include: Monetary assistance and support for Adoption, Surrogacy and Fertility Monetary assistance and support for pet adoption Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance Tuition Assistance Paid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more Matching Gifts programs Flexible working arrangements Work Your World' Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility) Business Resource Groups that support multiple affinities and alliances The benefits offerings listed are available to eligible U.S. Based employees, are reviewed on an annual basis, and are governed by the terms of the applicable plan documents. We also offer medical and voluntary benefits to our freelancers and temporary employees. Voluntary benefit options include supplemental medical insurance, transportation, and parking benefits, legal benefits, pet insurance, and auto and home insurance. You must be actively employed for 90 consecutive calendar days in order to be eligible for Publicis medical and voluntary benefits. You must be work authorized in the United States on a full-time basis without the need for employer sponsorship now or in the future. The Company cannot offer employment to F-1 (student) visa holders who require employer sponsorship in the future or cannot work now on a full-time basis. Publicis Digital Experience is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com. All your information will be kept confidential according to EEO guidelines. #LI-AB1 Compensation Range: USD $88,540.00 - USD $127,155.00/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. 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 12/22/2026. What You’ll Achieve Impact: You will integrate and transform client data at scale, enabling targeted marketing campaigns, customer analytics, reporting, and custom CRM solutions through trusted Lakehouse data products. Career Growth: If successful, the Senior Databricks Developer may gain exposure to additional clients and complex data modernization initiatives. You may also have an opportunity to progress to a Lead Databricks Developer role, mentor junior engineers, establish engineering standards, and strengthen technical leadership skills. Who You Are What you’ll bring with you: Strong experience working as part of a technology team, translating business requirements and functional specifications into technical designs, source-to-target mappings, data flows, and operational documentation. Hands-on experience developing scalable ETL and ELT pipelines using Databricks, Apache Spark, PySpark, Python, and SQL, including ingestion from files, APIs, relational databases, cloud object storage, and streaming sources. Experience designing Delta Lake solutions using bronze, silver, and gold data layers; implementing schema enforcement and evolution; and applying data quality, reconciliation, unit testing, and validation controls. Experience optimizing Spark workloads through appropriate partitioning, file sizing, caching, join strategies, cluster configuration, and query tuning. Working knowledge of Databricks Workflows, Jobs, notebooks, repos, and production support practices is required. Initiative - You possess a strong can-do attitude, take ownership of tasks and deliverables, and independently learn new Databricks capabilities, cloud services, and client domains. Problem Solving - Excellent analytical skills with the ability to diagnose data, code, performance, and production pipeline issues quickly and methodically. Collaboration - Proven experience working across engineering, QA, architecture, analysis, project management, and client teams. You communicate technical concepts clearly in verbal and written form. Organization - You are deadline-focused, well organized, and detail-oriented, with the ability to manage multiple development priorities, releases, and production support needs. Why you might stand out from other talent: Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field. Experience delivering marketing, customer data, automotive, or CRM solutions. 5+ years of data engineering, database development, or data warehouse development experience. 3+ years of hands-on Databricks and Apache Spark development experience in a production environment. Knowledge and experience with: Databricks Lakehouse Platform, Apache Spark, PySpark, Python, and advanced SQL. Delta Lake, medallion architecture, Unity Catalog, data governance, and access controls. Databricks Workflows and Jobs, notebooks, repos, Asset Bundles, and CI/CD practices. Azure Data Lake Storage, Amazon S3, or comparable cloud object storage and services. Git-based source control and automated deployment tools such as Azure DevOps or GitHub Actions. Spark and SQL performance tuning, cluster sizing, cost optimization, and production monitoring. Batch and streaming ingestion, including Auto Loader and Structured Streaming. Data modeling, ETL/ELT, APIs, file processing, and integration with relational databases. Databricks Data Engineer Associate or Professional certification is a plus.
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