Senior Manager Data Engineering- AWS Cloud (Hybrid 3days/week in Irvine and LA)
Role summary
Publicis Sapient is seeking a hands-on Senior Manager of Data Engineering with AWS Cloud expertise to support a Fintech client. This role involves translating client needs into transformative data solutions, working with the latest data technologies, and driving digital transformation. The ideal candidate will have 15+ years of industry experience, including 5 years with AWS, and a strong background in Python/PySpark, Databricks, data pipelines, and data storage. Responsibilities include writing production-quality code, building POCs, handling production issues, and providing technical leadership. Domain experience in investment/asset/wealth management and consulting experience are essential. The role requires mentoring and managing team members, ensuring high-quality delivery, and acting as a trusted advisor to clients.
Publicis Sapient
is seeking a hands-on
Senior Manager of Data Engineering (with AWS Cloud)
to support our Fintech (investment management) client. 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/
**Eligibility criteria
:**
- Applications are limited to ONLY U.S. Citizens, GC, GC-EAD, H4-EAD and OPT — no H-1Bs for this role.
- Preference for Irvine-LA 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
and
5yrs of experience with AWS Cloud.
- Must be a
hands‑on engineer
, not just an architect or strategist.
- Required Technical Stack
—
AWS, Python/ PySpark, Databricks, Data Pipelines, Data Storage.
- Hands on with
writing and reviewing production‑quality code
, building
proofs of concept (POCs)
, and handling
production issues
.
- Working knowledge of
AI concepts and applications
in real‑world or professional settings (strong plus).
- Domain Experience in
investment/ asset/ wealth management, fintech operations, and/or financial services
with strong understanding of the
end‑to‑end investment lifecycle
,
investment and trading nomenclature, financial regulations, trading systems and financial platforms.
- Background in
Consulting Experience.
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
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.
- 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.
- 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.
Nice-to-Have:
- 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.
- Willingness to travel.
**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
Sample Publicis Sapient interview questions
- 1
Maximum Depth of an N-ary Tree Find the maximum depth of an N-ary tree. Input: root = [1,null,2,null,3,null,4] Output: 4 Explanation: The tree is essentially a straight line, requiring a traversal that reaches a maximum depth of 4 layers.
codingmedium - 2
Encode and Decode Strings Encode a list of strings into a single string and decode it back. Input: strs = ["","hello",""] Output: ["","hello",""] Explanation: Prepends chunk lengths and a delimiter (e.g., "0#5#hello0#") to safely encode and perfectly restore empty strings.
codingmedium - 3
Search for a Word in a 2D Board Search for a word in a 2D board of characters. Input: board = [["C","A","A"],["A","A","A"],["B","C","D"]], word = "AAB" Output: TRUE Explanation: DFS traverses adjacent matching letters perfectly, finding "AAB" without improperly revisiting any cells.
codingmedium - 4
Find the majority element in an array. Given an array of size n, find the majority element. The majority element is the element that appears more than ⌊n / 2⌋ times. You may assume that the majority element always exists in the array. Input: nums = [3, 2, 3] Output: 3 Explanation: The number 3 appears 2 times, which is strictly greater than n/2 (1.5).
codingmedium - 5
Top K Frequent Elements Find the top K frequent elements in an array. Input: nums = [4,4,4,4,5,5,6], k = 1 Output: [4] Explanation: The number 4 appears four times, easily making it the single most frequent element in the data structure.
codingmedium
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