Principal GCP Data Architect

Arohana Tech Solutions Private Limited; Dallas (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

Arohana Tech Solutions Private Limited in Dallas, TX, seeks a Principal GCP Data Architect to lead the design, architecture, and implementation of large‑scale cloud data platforms.

You will drive enterprise data governance, security, and self‑service data platforms while leading cross‑functional teams through complex migrations and modernization initiatives.

Qualifications

• 18–20 years of experience in Data Engineering, Data Warehousing, and BI.
• Minimum 6+ years hands-on experience with GCP.
• Proven track record leading PB-scale cloud migrations and enterprise data platforms.
• Experience leading large cross-functional teams in Agile/DevOps.
• Bachelor's or Master's in CS/IS or related field.

Responsibilities

• Define and drive the long‑term data architecture and technology roadmap on GCP.
• Design self‑service data platforms with centralized governance and security.
• Lead end‑to‑end cloud migrations (AWS to GCP) with minimal business disruption.
• Establish enterprise‑wide data governance, IAM, and data security controls.
• IaC automation using Terraform or Pulumi for scalable infrastructure.
• Partner with senior leadership to execute data platform strategy and ROI.

Skills

GCP Data Ecosystem

BigQuery

Dataflow/Dataproc

Pub/Sub

Kafka Integration

Looker

Vertex AI

GKE/Kubernetes

Terraform/Pulumi

Data Governance

IAM & Security

Cloud Migrations

Leadership

Cross-functional Teams

Education

Bachelor's or Master's degree in Computer Science/Information Systems

Tools

Looker

Vertex AI

Job description

We are looking for a highly experienced, hands‑on Principal GCP Data Architect to lead the design, architecture, and implementation of large‑scale cloud data platforms.

The ideal candidate should have strong experience leading enterprise‑level cloud migrations, building self‑service data platforms from the ground up, and implementing enterprise‑wide data governance, security, and compliance standards.

The candidate must have deep expertise in Google Cloud Platform (GCP), modern data engineering technologies, and the ability to lead large, cross‑functional engineering teams.

Technical Requirements

• GCP Cloud Expertise

Strong Expertise In The GCP Data Ecosystem, Including

Storage & Data Warehousing: BigQuery, BigLake, BigQuery Omni, and Google Cloud Storage (GCS).

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

Messaging & Streaming: Pub/Sub and Confluent/Kafka integration.

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

• Certifications & Technical Assessment

Must hold an active Google Cloud Professional Data Engineer certification.

DRP ID with a verified score of 50+ is highly preferred, demonstrating strong technical expertise and architectural capabilities.

• Modern Data Technologies

Strong experience with dbt and Apache Airflow.

Hands‑on experience with containerization technologies, including GKE and Kubernetes.

Experience & Qualifications

18–20 years of overall experience in Data Engineering, Data Warehousing, and Business Intelligence.

Minimum 6+ years of hands‑on experience specifically with GCP.

Proven track record of leading at least two enterprise‑scale, petabyte (PB)-level cloud migration projects.

Experience leading large, cross‑functional engineering teams in Agile and DevOps environments.

Strong experience in enterprise data architecture, cloud transformation, and large‑scale data platform development.

Bachelor's or Master's degree in Computer Science, Information Systems, or a related technical field.

Roles & Responsibilities

• Strategic Data Architecture

Define and drive the long‑term data architecture and technology roadmap on GCP.

Align data platform strategies with global business objectives and enterprise data architecture goals.

• Self‑Service Data Platform Development

Design and lead the development of modern, scalable, self‑service data platforms.

Enable decentralized engineering and analytics teams while maintaining centralized governance, security, and architectural standards.

• Enterprise Cloud Migration

Lead complex, end‑to‑end cloud migration initiatives, particularly from AWS to GCP.

Ensure successful migration of large‑scale data platforms with minimal business disruption.

• Data Governance & Security

Establish and enforce enterprise‑wide data governance, security, and compliance frameworks.

Implement IAM, VPC Service Controls, data masking, encryption, and automated data governance using Dataplex.

• Infrastructure as Code (IaC)

Drive infrastructure automation using Terraform or Pulumi.

Ensure infrastructure is scalable, repeatable, secure, and version‑controlled.

• Leadership & Stakeholder Management

Work closely with senior leadership, including the VP of Data, to define and execute data platform strategies.

Communicate technical architecture decisions, business value, ROI, and project risks to executive stakeholders.

Provide technical direction and leadership to engineering teams across multiple functions.

Skills: gcp,enterprise,kubernetes,kafka,data governance,teams,architecture,cloud,platforms,data architecture,security,aws,data