Principal Google Cloud Platform Data Architect

Experience: 10 - 15 Years

Required Citizenship / Work Permit / Visa Status: &

We are looking for candidates who have Google Cloud Platform Certification and comes from a Data Engineering background.

Must-Haves:

Should have worked exclusively on Google Cloud Platform We are looking for candidates who have Google Cloud Platform Certification and comes from a Data Engineering background. This role is remote and candidate can be based anywhere in US.

Strict No-Nos: N/A

Nice to Haves: AI skills

Job Description:

We are seeking a hands-on Principal Google Cloud Platform Data Architect to lead the design, and implementation of large-scale data ecosystems. 

The ideal candidate is an architect who has led massive cloud migrations, built self-serve data platforms from the ground up, and maintains a rigorous focus on data governance and security.

Technical Requirements:

·       Cloud Expertise: Expert-level mastery of the Google Cloud Platform Data Stack:

o   Storage & Warehouse: BigQuery (including BigLake and Omni), Google Cloud Storage.

o   Processing: Dataflow (Apache Beam), Dataproc (Spark/Hadoop), Cloud Composer (Airflow).

o   Messaging: Pub/Sub and Confluent/Kafka integration.

o   Analytics & AI: Looker, Vertex AI, and BigQuery ML.

·       Certifications: Must hold an active Google Cloud Platform Professional Data Engineer certification.

·       DRP ID Performance: A Data Readiness Placement (DRP) ID with a verified score of 50+ is highly preferable, demonstrating a high level of technical proficiency and architectural maturity.

·       Modern Data Stack: Deep experience with dbt, Airflow, and containerization (GKE/Kubernetes).

Experience & Qualifications:

·       Years of Experience: 18–20 years in Data Engineering, Data Warehousing, and Business Intelligence, with at least 6+ years focused specifically on Google Cloud Platform.

·       Migration Track Record: Proven experience leading at least two enterprise-scale migrations (PB-scale) to the cloud.

·       Leadership: Demonstrated experience leading large, cross-functional engineering teams in an Agile/DevOps environment.

·       Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related technical field.

Roles & Responsibilities

·       Strategic Architecture: Define the long-term roadmap for data platforms on Google Cloud Platform, ensuring alignment with global business goals and "North Star" data strategies.

·       Self-Serve Platform Design: Architect and oversee the build-out of modern, self-serve data architectures that empower decentralized teams while maintaining central standards.

·       Large-Scale Migrations: Lead complex end-to-end migration from AWS to Google Cloud Platform.

·       Data Governance & Security: Design and enforce robust data security frameworks including IAM, VPC Service Controls, Data Masking/Encryption, and automated governance using Dataplex.

·       Infrastructure as Code (IaC): Drive automation using Terraform or Pulumi to ensure repeatable, scalable, and version-controlled infrastructure.

·       Executive Stakeholder Management: Act as a trusted advisor to the VP of Data, articulating the ROI of data initiatives and managing technical risk.

 ANSWER ME

Q1. Have you worked exclusively on Google Cloud Platform (Google Cloud Platform) throughout your professional career?Q2. Do you currently hold a valid Google Cloud Platform certification?

Q3. Do you have a background in Data Engineering?*

Q4. Are you currently authorized to work in the United States?Q5. Are you available to work in a remote position?

Q6. Which Google Cloud Platform certification do you currently hold?*

Q7. How many years of professional experience do you have in Data Engineering?

Q8. Which Google Cloud Platform data services have you worked with most extensively?