Principal Consultant_Decision Scientist_

Position: Principal Consultant_Decision Scientist_4
Location: California

## Principal Consultant Decision Scientist 4

Apply locations:
California time type:
Full time posted on:
Posted Todayjob requisition :
SR-42734

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 Big Query 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 Big Query, 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 work streams, 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:
Big Query, Dataflow, Cloud Composer, Vertex AI, Dataproc, Cloud Storage, GCP serverless infrastructure.

Proven delivery of end-to-end Data Engineering, Data Warehousing, or Analytics platforms ong programming skills in Python and/or Java.

Experience with Agile, CI/CD, Dev Ops, 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…