Publicis Sapient · 7 hours ago
Senior Manager Data Engineering - Irvine California, Hybrid, Financial Services
Los Angeles, CA
Full-time
Hybrid
Director/Executive
$162K/yr - $240K/yr
15+ years expPublicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state. As a Senior Manager Data Engineering, you will lead the development of scalable data solutions and optimize data pipelines while ensuring data quality and enabling advanced analytics.
Artificial Intelligence (AI)Enterprise SoftwareConsultingBig DataDatabaseEnterprise
Responsibilities
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
Qualification
Required
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, NoSQL 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, Domain Driven Design, Microservices, Data pipelines, Messaging, and Async Processing
Understanding of modern front-end development languages and frameworks
Expertise in data modeling, ELT, and data integration
Proven background as an engineering leader in delivering complex solution design, delivering large programs and obtaining approval from enterprise architecture stakeholders
Ability to lead teams that rapidly learn the client's current digital ecosystem and produce a future data landscape vision and strategy considering the transformation agenda and business goals
Proven ability to lead a technical track of 10+ engineers
Excellent client communication and facilitating skills, ability to influence others and gain consensus, and team collaboration
Preferred
Exposure to wealth management including advisor enablement, client onboarding, portfolio data is a plus
Experience applying AI or Generative AI concepts to enterprise platforms is a plus
Combination of proficient consulting, business, strategy, technical and people skills
Certifications in Big Data technologies
Experience in real-time data processing, event-driven architectures, and streaming analytics
Knowledge of AI/ML frameworks and their integration with Big Data platforms
Expertise in data security, compliance, and governance best practices
Background in financial services, investment management or asset management
Benefits
An inclusive workplace that promotes diversity and collaboration.
Access to ongoing learning and development opportunities.
Competitive compensation and benefits package.
Flexibility to support work-life balance.
Comprehensive health benefits for you and your family.
Generous paid leave and holidays.
Wellness program and employee assistance.
Company
Publicis Sapient
Publicis sapient is a digital consulting firm that offers consulting, technology, and product management services. It is a sub-organization of Publicis Sapient.
10001+ employees
H1B Sponsorship
Publicis Sapient has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (90)
2024 (90)
2023 (85)
2022 (153)
2021 (235)
2020 (231)
Funding
Current Stage
Late StageLeadership Team
Nigel Vaz
CEO
Nathalie Le Bos
Chief Financial Officer
Recent News
Financial Sector Technology
2025-12-09
2025-12-03
Company data provided by crunchbase