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Manager Data Engineering at Publicis Sapient

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Publicis Sapient

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Publicis Sapient 3.4(12,702)

Gurugram · Hybrid · 8-11 Yrs · 4 days ago

Enterprise Software & Network Solutions · 10000+ Employees · Boston, US

1 open role1 posted in 7d1 in 30d

Work-life balance 3.2Compensation & benefits 3.2Culture & values 3.4

Publicis Sapient is a digital business transformation partner that helps organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. But we’re not your traditional consultancy—we were born in the digital age, for the digital age. That’s why for over 30 years, the world’s biggest brands have counted on us to find innovative solutions for their most complex challenges. How do we do it? Through our holistic, people-first approach to digital business transformation. We work directly with our clients to elevate customer experiences, modernize their organizations and unlock value through technology and data. From ideation to implementation, we help set bold but achievable visions and empower our partners with true speed and agility. Our work is powered by real people—over 20,000 of us. While we each bring something unique to the table, we all share a core set of values that help us live our purpose. Together, we embrace trust and flexibility, understand that “failure” isn’t a bad word, always encourage curiosity and aim for impact that improves experiences and changes lives. In India, we have offices across three prime locations and have expanded to flexible workplace locations across cities.

Hiring: Engineering

What employees say

+ Very good company and culture

− Job safty issues if you are on bench these days

More reviews on the company profile.

Interview experience · Senior Associate Technology L2_Java Microservices

Sapient Interview Experience (Very Long & Unclear Hiring Process) I had a very disappointing interview experience with Sapient due to the extremely lengthy and confusing hiring process. Round 1: Online Assessment –

Difficult difficulty · India · 1,659 reports

More interview insights

Job description

Hybrid

Overview

Manager – Data Engineering

Responsibilities

Manager – Data Engineering
Lead the design, architecture, and delivery of large-scale data engineering solutions across cloud and hybrid environments.
Drive end-to-end data platform implementations encompassing data ingestion, transformation, storage, processing, governance, and consumption.
Architect batch and real-time data pipelines leveraging modern big data frameworks and cloud-native services.
Provide technical leadership and hands-on guidance to engineering teams, ensuring solution quality, scalability, security, and operational excellence.
Lead architecture reviews, technical design discussions, and solution governance activities.
Establish best practices in data engineering, including coding standards, performance optimization, security, and reliability.
Collaborate with business stakeholders, architects, product teams, and clients to translate business requirements into scalable technical solutions.
Mentor and develop engineering talent, contributing to hiring, capability building, and technical community initiatives.
Drive cloud transformation programs utilizing AWS, Azure, or GCP data platforms.
Promote innovation, thought leadership, and adoption of emerging technologies including GenAI-enabled data engineering solutions.
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 technology, data sciences, consulting, and customer obsession to accelerate our clients businesses through designing the products and services their customers truly value.

Qualifications

8+ years of IT experience, with 5+ years in data engineering, big data, or related technologies.
Proven experience leading the design and delivery of enterprise-scale data engineering solutions.
Strong hands-on expertise in at least one cloud platform (Azure as Primary; along with AWS/GCP experience).
Advanced programming expertise in Python (Scala as secondary).
Deep experience with distributed data processing frameworks such as Spark, Flink, Storm, or Hadoop ecosystem technologies.
Expertise in data ingestion and streaming frameworks including Kafka, NiFi, Pulsar, Pub/Sub, or similar platforms.
Strong understanding of cloud-based data architecture patterns and modern data platform design.
Working knowledge of NoSQL and MPP platforms including MongoDB, Cassandra, HBase, BigQuery, Redshift, Athena, Presto, or Impala.
Strong understanding of data security, IAM, encryption, privacy, governance, and compliance requirements.
Hands-on experience with performance tuning and optimization of data pipelines and distributed computing workloads.
Lead engineering teams in delivering high-quality, scalable solutions across multiple engagements.
Partner with clients to define technology strategies and recommend optimal data platform solutions.
Facilitate technical workshops, architecture reviews, and stakeholder alignment sessions.
Drive agile delivery practices and ensure successful program execution.
Provide mentorship and career development support for engineers and technical leads.
Contribute to organizational capability-building initiatives and recruitment efforts.
Champion innovation, reusable frameworks, and engineering best practices across programs.
Knowledge of relational, NoSQL, columnar, and MPP database technologies.
Exposure to containerization and orchestration technologies including Docker and Kubernetes.
Strong understanding of dimensional modeling, star schema, snowflake schema, and modern data warehouse architectures.
Thought leadership contributions including blogs, whitepapers, technical talks, hackathons, or conference presentations.
Relevant cloud, data engineering, or big data certifications.
Exposure to Generative AI, AI/ML data platforms, and modern analytics ecosystems.
Strong analytical and problem-solving skills.
Excellent communication and stakeholder management capabilities.
Strong leadership, mentoring, and collaboration skills.
Ability to influence technical and business decision-making.
Self-driven with strong ownership and accountability.
Comfortable working in global, distributed, and cross-functional teams.
Proven ability to manage multiple priorities in fast-paced environments.

Education

Bachelor's or Master's Degree in Computer Science, Computer Engineering, Information Technology, or a related technical field.
Additional Information
Set Yourself Apart With:

Benefits

Gender-Neutral Policy
18 paid holidays throughout the year.
Generous parental leave and new parent transition program
Flexible work arrangements
Employee Assistance Programs to help you in wellness and well-being.

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Job application FAQ

Last updated 17 September 2026

How do I apply for Manager Data Engineering at Publicis Sapient?: Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Publicis Sapient may attach structured assessments to interview rounds after you apply.
Does Feedback AI show a match score for this Manager Data Engineering role?: Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
Is Manager Data Engineering remote or on-site in Gurugram, Haryana?: This listing is marked hybrid with location Gurugram, Haryana. Confirm details on the job description before applying.
What skills matter for this Manager Data Engineering role at Publicis Sapient?: Key skills for this role include Hybrid. Upload a resume to see which requirements you already meet and which are gaps.