Publicis Sapient - Senior Manager - Data Engineering

Description :

Senior Manager Data Engineering

As Senior Manager, Data Engineering, you will be responsible for translating client requirements into
design, architecting, and implementing AWS Cloudbased big data solutions. This role focuses on
delivering high-quality solutions by independently driving design discussions across Data Ingestion, Transformation & Consumption, Data Storage, Compute Frameworks, Performance Optimization, Infrastructure & Automation, and Data Governance & Security. This is a hands-on leadership role requiring deep expertise in Big Data solution architecture with a strong Scala programming background.

Your Impact :

- Provide technical leadership and hands-on implementation across data ingestion, access, modeling, processing, visualization, design, and implementation.

- Lead and scale teams delivering high-quality big data solutions on AWS Cloud, managing functional and non-functional requirements.

- Establish standard data practices including governance, security, privacy, and data quality.

- Own and drive large-scale data programs using Agile delivery models.

- Lead client workshops and align senior stakeholders to optimal architectural solutions.

- Act as a thought leader through consulting, mentorship, and best-practice advocacy.

- People management responsibilities including hiring, coaching, and capability building.

Skills & Experience :

- 1316 years of overall IT experience, with 810 years of relevant experience in Data Engineering/Big Data technologies.

- Strong hands-on expertise in AWS Cloud with experience delivering end-to-end big data solutions; must have led at least one large program or project as an architect or technical lead.

- Mandatory experience with Big Data Architecture Patterns and enterprise-scale implementations on AWS.

- Primary programming language: Scala.

- Secondary programming language: Python.

- Java good to have.

- Expertise in distributed processing frameworks such as Apache Spark (Core, Streaming, SQL); exposure to Flink or Storm is a plus.

- Experience with Hadoop ecosystem on AWS, ingestion tools (Sqoop, Flume, NiFi), and messaging platforms (Kafka or Pulsar).

- Experience with NoSQL databases such as MongoDB, Cassandra, HBase, or AWS DynamoDB.

- Exposure to CI/CD pipelines, infrastructure automation, containerization, orchestration, and Kubernetes.

Set Yourself Apart With :

- AWS Cloud or Big Data certifications.

- Strong analytical, architectural, and problem-solving skills.

- Excellent understanding of the modern data engineering ecosystem.

Benefits of Working Here :

- Gender-neutral policies.

- 18 paid holidays annually.

- Generous parental leave and transition programs.

- Flexible work arrangements.

- Employee assistance and wellness programs.

A Tip from the Hiring Manager :

Join the team to deepen your technical leadership, influence large-scale data transformations, and make a direct impact on client business outcomes.