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

About the role

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.

Responsibilities

• 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 such as 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.
• 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, including architecture validation, performance tuning, and 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.
• 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.

Qualifications

• 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).

Skills

• Docker & Kubernetes experience.
• DevOps on GCP.
• AWS experience, especially in hybrid cloud contexts.
• Google Cloud Professional Cloud Architect Certification.

Benefits

• Eligible for health, dental, vision, life insurance, and disability plans.
• Eligible for benefits on the first day of Employment with the Company.
• Eligible to participate in the Company 401(k) Plan after 30 days of employment.
• 11 paid holidays and 12 weeks of Parental Leave.
• "Free time" PTO policy.