46503 Principal GCP Data Architect

Cephas Consultancy Services Private Limited; Dallas (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Cephas Consultancy Services Private Limited in Dallas, TX, seeks a hands-on Principal GCP Data Architect to design and implement large-scale data ecosystems on the Google Cloud Platform. You will lead migrations, establish governance, and drive a modern data stack across analytics, ML, and BI.

The role demands 18–20 years in data engineering with 6+ years on GCP, plus leadership of cross-functional teams in an Agile/DevOps setting.

Qualifications

• 18–20 years in Data Engineering, Data Warehousing, and BI with 6+ years on GCP.
• Led at least two PB-scale migrations to the cloud.
• Experience directing large, cross-functional engineering teams in Agile/DevOps.
• Bachelor’s or Master’s degree in CS/IS or related field.

Responsibilities

• Define the long-term data platform roadmap on GCP aligned with business goals.
• Architect and oversee modern self-serve data platforms for decentralized teams.
• Lead end-to-end migrations from AWS to GCP.
• Design robust data governance and security architectures (IAM, VPC Service Controls, encryption).
• Drive IaC automation using Terraform or Pulumi for repeatable infra.
• Collaborate with executives to articulate data ROI and manage technical risk.

Skills

GCP data architecture

Data governance

Cloud migrations AWS→GCP

Leadership

Dataplex

Terraform / Pulumi

dbt

Airflow

GKE / Kubernetes

Looker / BigQuery ML

BigQuery

Dataflow

Dataproc

Education

Bachelor's or Master's in Computer Science, Information Systems, or related field

Tools

Terraform

Pulumi

Dataplex

dbt

Airflow

GKE/Kubernetes

BigQuery

Dataflow

Dataproc

Looker

Vertex AI

BigQuery ML

Pub/Sub

Job description

46503 Principal GCP Data Architect

Cephas Consultancy Services Private Limited Dallas, Texas, United States

About this position

Positions:1 Full Time
Experience
10 - 15 Years

Job Description

We are seeking a hands‑on Principal GCP Data Architectto 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 GCP Data Stack:
  • Storage & Warehouse:BigQuery (including BigLake and Omni), Google Cloud Storage.
  • Processing:Dataflow (Apache Beam), Dataproc (Spark/Hadoop), Cloud Composer (Airflow).
  • Messaging:Pub/Sub and Confluent/Kafka integration.
  • Analytics & AI:Looker, Vertex AI, and BigQuery ML.
• Certifications:Must hold an activeGCP Professional Data Engineercertification.
• DRP ID Performance:AData Readiness Placement (DRP) IDwith a verified score of50+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 GCP.
• 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.
• Strategic Architecture:Define the long‑term roadmap for data platforms on GCP, 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 GCP.
• Data Governance & Security:Design and enforce robust data security frameworks including IAM, VPC Service Controls, Data Masking/Encryption, and automated governance usingDataplex.
• 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.