Senior Manager Data Engineering- AWS Cloud (Hybrid 3days/week in Irvine)

Publicis Sapient
is looking for a hands-on
Senior Manager of Data Engineering (with AWS Cloud)
to lead top-notch technologists to enable real business outcomes for our enterprise clients. You will create impact for some of the world’s biggest brands, by translating their needs into transformative solutions that provide valuable insight. Working with the latest data technologies in the industry, you will be instrumental in helping our clients evolve for a more digital future.

Visit our website to learn more about the work we do:
https://www.publicissapient.com/

**Requirement of the role
:**

• Only considering U.S. Citizens and Green Card holders for this role — not accepting other work visa types.
• Preference for Irvine based candidates.
• Willing to work in a hybrid model, with 3 days per week onsite in Irvine (Orange County)

Must‑Haves:

• 15+ years of industry experience
• Hands‑on coding experience, with active involvement in code reviews
• 5yrs of experience with AWS Cloud
• Extensive experience with Data Pipelines, Data Storage, PySpark and AWS
• Working knowledge of AI concepts and applications
• Experience within the Asset Management, Wealth Management, or FinTech industries

Your Impact:

- Serve as a
trusted advisor
to clients by leveraging data to drive customer acquisition and engagement within large‑scale digital transformation initiatives.
- Advance the use of
enterprise‑scale data platforms
as a core building block to connecting brands with consumers and enabling meaningful business transformation.
- Partner closely with clients to
understand business objectives
, translating complex needs into effective and scalable technology solutions.
- Act as a
technical subject‑matter expert
, solving complex business challenges through well‑designed data integration and database architecture.
- Identify, shape, and drive opportunities
across the full lifecycle of client engagements, from strategy through execution.
- Ensure
high‑quality delivery
by defining development standards, enforcing best practices, and actively participating in code and design reviews.
- Mentor, support, and manage team members
, fostering technical excellence, collaboration, and professional growth.

Your Skills & Experience:

- Strong data engineering expertise
with a background in distributed computing and a proven track record of delivering
large‑scale, enterprise data platforms
- Solid understanding of
analytics, measurement, reporting, and business intelligence
, including data modeling, insights generation, and data science concepts
- Hands‑on technical expertise
across the modern big‑data ecosystem, including:

-Data integration and ETL/ELT (e.g., ETL tools, DBT)

-Streaming and messaging platforms

-NoSQL and modern data stores

-Compute and orchestration frameworks (e.g., Databricks, Spark, Airflow)

-Reporting, analytics, advanced visualization, and AI/ML platforms

- Hands‑on experience with
at least one major public cloud platform
—AWS, Azure, or Google Cloud—for data workloads
- Practical exposure to
AWS services
such as EMR, Glue, Athena, S3, and messaging services like SQS/SNS (or equivalent services in other cloud ecosystems)
- Demonstrated experience implementing
best practices for performance, security, scalability, and cost optimization
in data‑lake and data‑platform architectures
- Proven ability to
lead and guide teams
in rapidly understanding a client’s current digital ecosystem and defining a future‑state data architecture aligned with business and transformation goals
- Strong point of view on
build vs. buy decisions
, including considerations around performance, hosting models, commercial structures, and analytics/reporting strategies
- Exceptional client communication and facilitation skills
, with the ability to influence stakeholders, build consensus, and collaborate effectively across teams
- A well‑rounded profile combining
consulting acumen, business and strategy awareness, deep technical expertise, and people leadership skills
- Bachelor’s degree in
Engineering, Computer Science, or a related field

Set Yourself Apart With:

- Cloud Certifications
such as Microsoft Azure, AWS, or GCP
- Certifications in
Machine Learning and/or Advanced Analytics Courses
- Experience working with
code repositories and CI/CD pipelines
, including tools such as AWS CodeBuild, CodePipeline, or similar tools/technologies
- Experience in
data governance and lineage implementation
- Multi-geo and distributed delivery experience in large programs

**Additional information
:**

Annual Pay Range (in USD): $160,000 - $240,000

The ranges shown above represent a grouping of relevant ranges currently in use at Publicis Sapient.
*The actual range for this position may vary based on location and the specific skills required for the role.*

**Benefits include
:**

• An inclusive workplace that promotes diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Comprehensive health benefits for you and your family.
• Flexible vacation (not limited, allocated, or accrued).
• Parental leave and new parent transition program.
• Corporate gift matching program.
• Generous paid leave and holidays.
• Wellness program and employee assistance.

Publicis Sapient is committed to fostering an inclusive and diverse workplace and upholds equal employment opportunity for all individuals. Employment decisions are made without regard to race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, religion, or any other protected characteristic.

We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans throughout our recruitment process. If you require assistance or an accommodation due to a disability, please contact us at
hiring@publicissapient.com
or call
+1‑617‑621‑0200
.

All your information will be kept confidential according to EEO guidelines.

#Hybrid