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Director, Data Engineering
Director, Data Engineering-October 2024
Hinganghāt
Oct 27, 2025
ABOUT PUBLICIS SAPIENT
Publicis Sapient uses strategy, consulting, experience, engineering, and a culture of problem-solving creativity, to help our clients thrive.
10,000+ employees
Consulting, Technology
VIEW COMPANY PROFILE >>
About Director, Data Engineering

  Description

  As Director in Data Engineering, you are responsible for defining and executing data strategy for clients. Your role focused on high-quality strategy, definition, and delivery of solutions involving:

  Data Integration, Governance & Wrangling

  Data Storage and Computation Frameworks, Performance Optimizations

  Analytics & Visualizations

  Infrastructure & Cloud Computing

  Data Management Platforms

  The role requires a hands-on technologist with expertise in databases, Hadoop, MDM, and reporting to provide strategic and tactical direction to customers in the areas of marketing and technology. The person should have a strong programming background like Java.

  As a data engineering practitioner, you should have a point of view and understanding of build vs. buy, performance considerations, hosting, business intelligence, reporting & analytics. Ideally, you have experience in integrating data with marketing scenarios like segmentation, targeting, consumer 360 view, etc.

  Provide inputs to define and execute strategic roadmap for enterprise data architecture by identifying the current landscape and future business goalsProvide technical leadership and hands-on implementation role in the areas of data techniques including data access, integration, modeling, visualization, mining, design and implementationLead a globally distributed team to deliver high quality solutions. Manage functional & non-functional scope and qualityHelp establish standard data practices like governance and address other non-functional issues like data security, privacy and qualityHelp establish best practice like standards and guidelines for design & development, deployment, support and analytics and miningHelp establish best practice in acquiring, storing and analyzing structured, semi-structured and un-structured data from the enterprise and outside like socialCome up with analytics solutions based on the business goals and appropriate data visualization to support the goalsManage and provide technical leadership to large data programs or multiple programs implementation based on the requirement using agile technologiesDefine and drive key transformational programs like customer 360 degree view for the clientsFunctional understanding related to digital marketing & customer experience solution blocks, Master data Management (MDM), Customer Relationship Management (CRM), Campaign Management, Tag Management, Media Buying, Optimizations, Recommendations & Targeting, DMP, and DSP.Understanding Digital data sources such as Open source data (ex: Facebook, Twitter, LinkedIn etc.), Web log Data (SiteCatalyst, Google Analytics), 3rd party paid data (ex: Acxiom, ACNielsen etc.) and business application data (CRM, Ecommerce etc.)Run workshops with clients and align client stakeholders to optimal solutions

  Qualifications

  Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. As digital pioneers with 20,000 people and 53 offices around the globe, our experience spanning technology, data sciences, consulting and customer obsession - combined with our culture of curiosity and relentlessness - enables us to accelerate our clients' businesses through designing the products and services their customers truly value. Publicis Sapient is the digital business transformation hub of Publicis Groupe. For more information, visit publicissapient.com

  Additional Information

  We at Publicis Sapient, enable our clients to thrive in Next and to create business value through expert strategies, customer-centric experience design, and world-class product engineering.

  The future of business is disruptive, transformative and becoming digital to the core.

  In our 20 + years in IT, never before have we seen such a dire need for transformation in every major industry - from financial services to automotive, consumer products, retail, energy, and travel.

  To make this transformative journey a reality in these exciting times, we seek Rockstars who will:

  brave it out to go do the next; "what will be" from "what is"exhibit the optimism that says there is no limit to what we can achievedeeply-skilled, bold, collaborative, flexibleReimagine the way the world works to help businesses improve the daily lives of people and the world.

  Our people thrive because of the belief that it is both our privilege and responsibility to usher our clients and the world into Next.

  Our work is fueled by

  challenging boundaries,multidisciplinary collaboration,highly agile teams, andthe power of the newest technologies and platforms.

  If that's you, come talk to us!

  This is the world-class engineering team where you should build your career.

  Company Description

  As Director in Data Engineering, you are responsible for defining and executing data strategy for clients. Your role focused on high-quality strategy, definition, and delivery of solutions involving:

  Data Integration, Governance & Wrangling

  Data Storage and Computation Frameworks, Performance Optimizations

  Analytics & Visualizations

  Infrastructure & Cloud Computing

  Data Management Platforms

  The role requires a hands-on technologist with expertise in databases, Hadoop, MDM, and reporting to provide strategic and tactical direction to customers in the areas of marketing and technology. The person should have a strong programming background like Java.

  As a data engineering practitioner, you should have a point of view and understanding of build vs. buy, performance considerations, hosting, business intelligence, reporting & analytics. Ideally, you have experience in integrating data with marketing scenarios like segmentation, targeting, consumer 360 view, etc.

  Provide inputs to define and execute strategic roadmap for enterprise data architecture by identifying the current landscape and future business goalsProvide technical leadership and hands-on implementation role in the areas of data techniques including data access, integration, modeling, visualization, mining, design and implementationLead a globally distributed team to deliver high quality solutions. Manage functional & non-functional scope and qualityHelp establish standard data practices like governance and address other non-functional issues like data security, privacy and qualityHelp establish best practice like standards and guidelines for design & development, deployment, support and analytics and miningHelp establish best practice in acquiring, storing and analyzing structured, semi-structured and un-structured data from the enterprise and outside like socialCome up with analytics solutions based on the business goals and appropriate data visualization to support the goalsManage and provide technical leadership to large data programs or multiple programs implementation based on the requirement using agile technologiesDefine and drive key transformational programs like customer 360 degree view for the clientsFunctional understanding related to digital marketing & customer experience solution blocks, Master data Management (MDM), Customer Relationship Management (CRM), Campaign Management, Tag Management, Media Buying, Optimizations, Recommendations & Targeting, DMP, and DSP.Understanding Digital data sources such as Open source data (ex: Facebook, Twitter, LinkedIn etc.), Web log Data (SiteCatalyst, Google Analytics), 3rd party paid data (ex: Acxiom, ACNielsen etc.) and business application data (CRM, Ecommerce etc.)Run workshops with clients and align client stakeholders to optimal solutions

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