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Sr. Principal GCP​/AI Architect

Job in New York, New York County, New York, 10261, USA
Listing for: Go2Group LLC
Full Time, Part Time position
Listed on 2025-12-21
Job specializations:
  • IT/Tech
    Cloud Computing, Data Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 125 - 175 USD Hourly USD 125.00 175.00 HOUR
Job Description & How to Apply Below
Position: Sr. Principal GCP / AI Architect
Location: New York

4 days ago Be among the first 25 applicants

This range is provided by Go2

Group LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

Direct message the job poster from Go2

Group LLC

PLEASE NO C2C SUBMISSIONS OR AGENCIES - ONLY DIRECT APPLICANTS ONLY

Our client, a mid‑sized and forward‑thinking consulting firm (named to Forbes’ Best Management Consulting Firms for 15 consecutive years), is expanding its 160‑person Data Analytics & AI practice. They combine deep industry expertise with modern technology to drive meaningful, long‑term transformation for their clients. They’re currently seeking a seasoned GCP Architect to lead cloud architecture, data platform modernization, and migration initiatives using Google Cloud Platform.

Please note: Although the preference is contract to hire, the team is open to full‑time direct hire for someone with direct alignment.

  • Start: As early as December 2025, goes through all of 2026
  • Duration: 6–8 months before FTE conversion or contract extension
  • Type: Full‑time contract (40 hrs/week)
  • Location: Onsite 2–3 days/week in downtown Manhattan
  • Rate: $125–175/hr (depending on experience alignment)
  • Salary: $220‑275k + 15%+ bonus
  • Industry: Ideal candidate comes from the IT Consulting industry or Energy & Utilities (E&U)
Client Delivery
  • Act as SME and solution architect for GCP, advising on design, migration, and platform decisions.
  • Compare Azure vs. GCP capabilities to guide client choices.
  • Lead architecture and migration of workloads into GCP, including hybrid/multi‑cloud.
  • Build modern data platforms supporting analytics, AI, and agentic solutions on GCP.
  • Advise on how Databricks aligns or overlaps with GCP services.
  • Lead cost modeling, O&M budgeting, and optimization efforts.
  • Ensure architectures meet business, technical, and regulatory requirements.
  • Provide hands‑on guidance across core GCP services (Big Query, Dataflow, Pub/Sub, Vertex AI, etc.).
  • Connect data engineering, governance, analytics, and AI into a cohesive platform strategy.
  • Serve as a trusted advisor to client leadership.
Practice Development
  • Develop methodologies, accelerators, and best practices for GCP adoption in regulated environments.
  • Support cloud modernization and AI/ML thought leadership efforts.
  • Mentor team members and support a collaborative culture.
Business Development
  • Translate business needs into technical roadmaps, proposals, and architecture options.
  • Support pursuits as a GCP SME with estimates and risk assessments.
  • Build a network in the cloud and utilities ecosystems.
Requirements
  • Bachelor’s degree (advanced preferred).
  • 8+ years experience, including 3+ on GCP.
  • Strong cloud data architecture skills (batch/streaming pipelines, Big Query, Vertex AI, Agentspace).
  • Experience with Azure and Databricks; ability to evaluate tradeoffs.
  • Proven leadership of large cloud migrations or platform builds.
  • Familiarity with regulatory requirements (e.g., NERC CIP).
  • At least one Google Cloud Professional certification.
  • Strong communication, documentation, and stakeholder influence skills.
  • Leadership and mentoring experience.
  • Willingness to travel (up to 30% at times, but closer to 10%)
Nice to Have
  • Experience with regulated utilities and compliance frameworks.
  • Databricks certifications.
Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Consulting and Information Technology

Industries: IT Services and IT Consulting and Business Consulting and Services

Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

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