Company Description

• 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.

Job 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

Qualifications

15+ years of experience within the field of data engineering

Excellent understanding of data technologies landscape

Well versed with pros and cons of various database technologies like Relational, NO SQL, MPP, Columnar databases

Well versed with Software as a service, Platform as a service and Infrastructure as a service concepts and can drive clients to a decision

Expert in programming languages like Java, Scala and / or JavaScript

Expert in multi-dimensional modeling like start schema, snowflakes, normalized and de-normalized models

Expert in one or more ETL, BI, Analytics and advanced visualization technologies

Expert in in Hadoop eco-system with one or more distribution like Cloudera and HortonWorks

Expert in agile development with CI / CD pipeline with data projects

Knowledge in computation frameworks like Storm and Spark

Knowledge in cloud and social media technologies and integrations

Expert in master data management and building customer 360 degree views

Strong analytical and problem solving skills

Strong communication skills verbal, written and visual presentations

Strong coordination and negotiation skills

Multi geo experience and distributed delivery experience in large programs

Business Knowledge:  Data driven marketing experience would be a plus

Education:

Bachelor’s/Master’s Degree in Computer Engineering, Computer Science, or a related field.

Additional Information

• 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