Description
As a 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.
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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.
Responsibilities:
- Provide inputs to define and execute a strategic roadmap for enterprise data architecture by identifying the current landscape and future business goal
- Provide technical leadership and hands-on implementation role in the areas of data techniques including data access, integration, modeling, visualization, mining, design, and implementation
- Lead a globally distributed team to deliver high-quality solutions. Manage functional & non-functional scope and quality
- Help establish standard data practices like governance and address other non-functional issues like data security, privacy, and quality
- Help establish best practices like standards and guidelines for design & development, deployment, support and analytics, and mining
- Help establish best practices in acquiring, storing, and analyzing structured, semi-structured, and unstructured data from the enterprise and outside like social
- Come up with analytics solutions based on the business goals and appropriate data visualization to support the goals
- Manage and provide technical leadership to large data programs or multiple programs implementation based on the requirement using agile technologies
- Define and drive key transformational programs like customer 360-degree view for the clients
- Functional understanding related to digital marketing & customer experience solution blocks, Master data Management (MDM), Customer Relationship Management (CRM), Campaign Management, Tag Management, Media Buying, Optimization, Recommendations & Targeting, DMP, and DSP.
- Understanding Digital data sources such as Open source data (ex: Facebook, Twitter, LinkedIn, etc.), Weblog 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
#LI-REMOTE
Qualifications
- Gender-Neutral Policy
- 18 paid holidays throughout the year for NCR/BLR (22 For Mumbai)
- Generous parental leave and new parent transition program
- Flexible work arrangements
- Employee Assistance Programs to help you in wellness and well being
Additional Information
- 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.United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across truly value.
Company Description
As a 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.
Responsibilities:
- Provide inputs to define and execute a strategic roadmap for enterprise data architecture by identifying the current landscape and future business goal
- Provide technical leadership and hands-on implementation role in the areas of data techniques including data access, integration, modeling, visualization, mining, design, and implementation
- Lead a globally distributed team to deliver high-quality solutions. Manage functional & non-functional scope and quality
- Help establish standard data practices like governance and address other non-functional issues like data security, privacy, and quality
- Help establish best practices like standards and guidelines for design & development, deployment, support and analytics, and mining
- Help establish best practices in acquiring, storing, and analyzing structured, semi-structured, and unstructured data from the enterprise and outside like social
- Come up with analytics solutions based on the business goals and appropriate data visualization to support the goals
- Manage and provide technical leadership to large data programs or multiple programs implementation based on the requirement using agile technologies
- Define and drive key transformational programs like customer 360-degree view for the clients
- Functional understanding related to digital marketing & customer experience solution blocks, Master data Management (MDM), Customer Relationship Management (CRM), Campaign Management, Tag Management, Media Buying, Optimization, Recommendations & Targeting, DMP, and DSP.
- Understanding Digital data sources such as Open source data (ex: Facebook, Twitter, LinkedIn, etc.), Weblog 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
#LI-REMOTE