Principal Consultant_Decision Scientist_4

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 th