Principal Consultant_Decision Scientist_4

Posted Yesterday
Be an Early Applicant
Hiring Remotely in California, USA
Remote
200K-250K Annually
Expert/Leader
Artificial Intelligence • Consulting
The Role
Lead end-to-end architecture and delivery of large-scale data engineering, data warehousing, and AI/ML solutions on GCP. Define technology vision, drive program governance, perform hands-on architecture validation and production tuning, mentor teams, and act as trusted technical partner to senior clients to ensure scalable, maintainable, and business-impacting platforms.
Summary Generated by Built In

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Role Overview

Principal Architect – Data Engineering, AI & GCP (G4)

We're looking for a Principal Architect who is a recognized SME in Google Cloud Platform, with deep roots in Data Engineering and a sharp eye for AI/ML-driven solutions. This is not a purely advisory role you'll own architecture, drive delivery, and be the technical anchor clients trust when the stakes are high.

If you've spent 12+ years building large-scale data platforms on GCP, know BigQuery and Vertex AI inside out, and thrive at the intersection of strategy and hands-on execution read on.

Architecture & Strategy

• Define short- and long-term technology vision for clients, evaluating their current landscape and charting a path forward.

• Lead end-to-end architecture for Data Engineering, Data Warehousing, and AI/ML solutions on GCP.

• Design scalable, secure, future-proof solutions using GCP-native services BigQuery, Dataflow, Cloud Composer, Vertex AI, Dataproc, Cloud Storage, and more.

• Build foundational architectures: microservices, event-driven systems, event streaming, and online ML systems.

• Champion data governance, data management best practices, and platform maintainability.

Delivery Leadership

• Act as Delivery Lead on large-scale programs owning timelines, quality, risk, and client satisfaction end to end.

• Drive program governance across workstreams, keeping cross-functional and cross-geography teams aligned.

• Step in hands-on during critical delivery phases architecture validation, performance tuning, production issue resolution.

• Bridge the gap between architecture decisions and execution realities, ensuring long-term scalability is never sacrificed for short-term speed.

• Mentor delivery teams, instilling strong engineering practices, accountability, and a culture of continuous improvement.

Client Engagement

• Become a trusted thought partner to senior client leaders understanding their pain points and translating them into actionable technical strategies.

• Proactively identify client needs and align them with innovative, business-impacting solutions.

• Communicate complex technical concepts clearly across executive, business, and engineering audiences.

• Build lasting relationships with senior stakeholders and cross-functional teams.

Community & Enablement

• Contribute to best practices, reference architectures, and technical content that elevate the broader practice.

• Collaborate with data engineers and data scientists to co-develop architecture that serves both analytical and operational needs.

Must-Have

12+ years in Data Engineering and Cloud-native technologies, with deep GCP expertise.

Hands-on mastery of: BigQuery, Dataflow, Cloud Composer, Vertex AI, Dataproc, Cloud Storage, GCP serverless infrastructure.

Proven delivery of end-to-end Data Engineering, Data Warehousing, or Analytics platforms at scale.

Strong programming skills in Python and/or Java.

Experience with Agile, CI/CD, DevOps, and MLOps pipelines.

Track record leading large, complex, client-facing delivery programs.

Ability to manage cross-functional, cross-geography teams with clarity and accountability.

Prior Google with direct exposure to first party tooling.

Write and optimize queries using PLX to support data analysis and product features

Proficiency in PLX or similar structured querying languages (e.g. SQL, Dremel/Spanner)

Nice to Have

• Docker & Kubernetes experience.

• DevOps on GCP.

• AWS experience, especially in hybrid cloud contexts.

• Google Cloud Professional Cloud Architect Certification.

Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $200,000 to $250,000 Yearly. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits:

As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of Employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Hiring Related Queries

India: [email protected]

Outside India: [email protected]

This inbox does not process resume submissions. All applications must be made through posted job openings

Not the right fit?  Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Skills Required

  • 12+ years in Data Engineering and cloud-native technologies with deep GCP expertise.
  • Hands-on mastery of BigQuery, Dataflow, Cloud Composer, Vertex AI, Dataproc, Cloud Storage, and GCP serverless infrastructure.
  • Proven delivery of end-to-end Data Engineering, Data Warehousing, or Analytics platforms at scale.
  • Strong programming skills in Python and/or Java.
  • Experience with Agile, CI/CD, DevOps, and MLOps pipelines.
  • Track record leading large, complex, client-facing delivery programs.
  • Ability to manage cross-functional, cross-geography teams with clarity and accountability.
  • Prior Google with direct exposure to first party tooling.
  • Write and optimize queries using PLX.
  • Proficiency in PLX or similar structured querying languages (e.g., SQL, Dremel, Spanner).
  • Docker & Kubernetes experience.
  • DevOps on GCP.
  • AWS experience, especially in hybrid cloud contexts.
  • Google Cloud Professional Cloud Architect Certification.

Fractal Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fractal and has not been reviewed or approved by Fractal.

  • Healthcare Strength Health coverage includes medical, dental, and vision along with tax‑advantaged accounts and EAP in the U.S., indicating a broad core package. Feedback suggests core protections exist across regions, though specifics can vary by location.
  • Leave & Time Off Breadth Time‑off programs include generous PTO, paid holidays and sick time, paid volunteer time, and sabbaticals in some areas. Some accounts also describe manager‑approved or flexible PTO approaches alongside hybrid/WFH latitude.
  • Flexible Benefits Work arrangements commonly include remote/hybrid options and flexible schedules. Flexibility is frequently highlighted as part of the overall value proposition.

Fractal Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: New York, NY
5,262 Employees

What We Do

Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal's products include Qure.ai to assist radiologists in making better diagnostic decisions, Crux Intelligence to assists CEOs, and senior executives make better tactical and strategic decisions, Theremin.ai to improve investment decisions, and Eugenie.ai to find anomalies in high-velocity data & Samya.ai to drive next-generation Enterprise Revenue Growth Management. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave™ 2021, Computer Vision Consultancies Wave™ 2020 & Specialized Insights Service Providers Wave™ 2020 by Forrester Research, and recognized as an "Honorable Vendor" in 2021 Magic Quadrant™ for data & analytics by Gartner.

Similar Jobs

PNC Bank Logo PNC Bank

Software Engineer

Machine Learning • Payments • Security • Software • Financial Services
Remote or Hybrid
USA
55000 Employees

PNC Bank Logo PNC Bank

Detection and Response Manager - Tempus

Machine Learning • Payments • Security • Software • Financial Services
Remote or Hybrid
USA
55000 Employees
100K-223K Annually

Huntress Logo Huntress

Sales Development Representative

Information Technology • Cybersecurity
Easy Apply
Remote
US
780 Employees
55K-70K Annually

Enverus Logo Enverus

Consultant

Big Data • Information Technology • Software • Analytics • Energy
In-Office or Remote
5 Locations
1800 Employees
120K-135K Annually

Similar Companies Hiring

Legora Thumbnail
Artificial Intelligence • Legal Tech • Software
Chicago, Illinois
700 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account