Senior Manager Data Engineering - Irvine California, Hybrid, Financial Services

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 technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

As a Senior Manager Data Engineering, you will lead and drive the development of scalable, high-performance data solutions leveraging Big Data technologies. You will be responsible for designing, implementing, and optimizing data pipelines, ensuring data quality, and enabling advanced analytics and AI-driven insights. Your expertise in Big Data platforms and cloud-based data architectures will be instrumental in shaping the future of data engineering at scale.

• Lead the design, development, and implementation of large-scale data solutions using Big Data technologies such as Hadoop, Spark, Kafka, and Snowflake.
• Architect and optimize data pipelines, ensuring high performance, scalability, and reliability.
• Collaborate with cross-functional teams to define data engineering best practices and drive data-driven decision-making.
• Implement real-time and batch data processing frameworks to support business intelligence, analytics, and machine learning use cases.
• Ensure data security, governance, and compliance with industry standards and regulations.
• Drive the adoption of cloud-based data platforms (AWS, GCP, Azure) and serverless data architectures.
• Mentor and lead a team of data engineers, fostering a culture of innovation, collaboration, and continuous learning.
• Partner with business stakeholders to understand data requirements and deliver actionable insights.
• Automate data workflows, monitoring, and performance tuning to enhance efficiency.
• Stay ahead of emerging trends in Big Data, AI, and data engineering to drive innovation and competitive advantage.

• 15+ years of experience in data engineering, with a strong focus on Big Data technologies.
• Proven expertise in Hadoop, Spark, Kafka, Flink, and other distributed computing frameworks.
• Hands‑on experience with cloud‑based data platforms such as AWS, GCP, or Azure.
• Strong programming skills in Python, Scala, or Java for data processing and analytics.
• Experience in building and optimizing ETL/ELT pipelines using tools like Apache NiFi, Airflow, or Talend.
• Deep understanding of data modeling, data lakes, and data warehousing concepts.
• Knowledge of SQL, No
  
  SQL databases, and data governance frameworks.
• Strong problem‑solving and analytical skills with a focus on performance optimization and scalability.
• Experience in leading and mentoring data engineering teams in an Agile environment.
• Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into business insights.

• Exceptional cloud/big data skills with distributed computing background and proven experience in delivering large scale cloud platforms.
• Strong background in application development using service‑oriented architecture and 12‑factor methodology of building cloud‑native platforms in AWS, Azure, or GCP.
• Expertise in systems integration, custom development, and package implementation at financial services firms in a technology consulting role.
• Hands‑on experience with at least one of the leading public cloud data platforms (Amazon Web Services, Azure, or Google Cloud).
• Hands‑on programming experience in Java or Python languages to help teams navigate delivery challenges as required and provide succinct approaches/root cause analysis to client’s ability to distill complex problems into methodologies such as,…