GCP Data Architect (13+ Years Experience – Remote Opportunity)

VettedBench; United States; Remote; USD 9,800 - 26,000; Full time

Job summary

VettedBench is seeking a seasoned GCP Data Architect to lead the design, modernization, and governance of enterprise-scale cloud data platforms on Google Cloud. This remote leadership role will translate complex business requirements into scalable, secure data ecosystems while mentoring engineering teams.

You will architect end-to-end data platforms, drive cloud modernization from on-premises to GCP, and collaborate with data science teams to support Vertex AI workloads.

Qualifications

• 13+ years in data engineering, warehousing, and enterprise data architecture with deep GCP focus.
• Expert-level proficiency in BigQuery, Dataflow, Cloud Composer, Pub/Sub, Dataproc, and Cloud Storage.
• SQL and Python for data processing and automation.
• Strong background in dimensional modeling (Kimball/Inmon), Data Vault, and lakehouse patterns.
• Hands-on with Terraform, Git, CI/CD pipelines, and containerization (Docker/Kubernetes).
• Excellent client-facing communication and remote leadership skills.

Responsibilities

• Architect end-to-end batch and real-time data platforms on Google Cloud Platform.
• Lead legacy-to-cloud modernization from on-prem or other clouds into GCP.
• Design conceptual, logical, and physical data models with performance tuning and cost optimization.
• Define enterprise data governance, data lineage, IAM policies, encryption, and compliance frameworks.
• Oversee CI/CD automation and infrastructure as code via Terraform; manage Cloud Composer workflows.
• Collaborate with data science/AI teams to structure data lakes and feature stores for Vertex AI workloads.
• Mentor senior data engineers and advise client leadership in architecture reviews.

Skills

GCP data architecture

Data engineering

SQL

Python

Remote leadership

DevOps leadership

Tools

BigQuery

Dataflow

Pub/Sub

Dataproc

Cloud Storage

Terraform

Cloud Composer

Docker

Kubernetes

Job description

Experience: 13+ Years (Minimum 6-8+ years in Data Architecture & 4+ years hands-on with GCP)

Location: Remote (India / Global Delivery)

Employment Type: Full-Time / Contract-to-Hire

Role Summary We are seeking a seasoned GCP Data Architect with 13+ years of IT experience to lead the design, modernization, and governance of enterprise-scale cloud data platforms. In this remote leadership role, you will translate complex business requirements into scalable, secure, and cost-efficient data ecosystems on Google Cloud Platform while mentoring engineering teams.

Key Responsibilities

Enterprise Data Architecture. Architect end-to-end batch and real-time data platforms using Google BigQuery, Dataflow, Pub/Sub, and Cloud Storage.

Cloud Data Modernization. Lead legacy-to-cloud migration roadmaps from on-premises warehouses (Teradata, Oracle, Hadoop) or other cloud platforms into GCP.

Data Modeling & Optimization. Design conceptual, logical, and physical data models. Enforce best practices for BigQuery partitioning, clustering, performance tuning, and FinOps cost optimization.

Governance & Security. Define and implement enterprise data governance, data lineage, IAM policies, encryption, and compliance frameworks using Dataplex and Cloud DLP.

Pipeline & DevOps Leadership. Oversee CI/CD automation, Infrastructure as Code (Terraform), and orchestration workflows via Cloud Composer (Apache Airflow).

AI/ML Readiness. Collaborate with data science and AI teams to structure data lakes and feature stores supporting Vertex AI and GenAI workloads.

Stakeholder & Team Mentorship. Act as a technical advisor to client leadership, conduct architecture reviews, and mentor senior data engineers.

Required Skills & Qualifications

Experience. 13+ years in data engineering, warehousing, and enterprise data architecture, with deep specialization in Google Cloud Platform.

Core GCP Stack. Expert-level proficiency in BigQuery, Dataflow (Apache Beam), Cloud Composer, Pub/Sub, Dataproc, and Cloud Storage.

Programming & Querying. Advanced proficiency in SQL and Python for data processing and automation.

Data Warehousing & Modeling. Strong background in dimensional modeling (Kimball/Inmon), Data Vault, and modern lakehouse patterns.

DevOps & IaC. Hands-on experience with Terraform, Git, CI/CD pipelines, and containerization (Docker/Kubernetes).

Soft Skills. Exceptional client-facing communication, pre-sales/RFP solutioning support, and cross-functional leadership in a remote setup.

Preferred / Good-to-Have

Certifications. Google Cloud Certified – Professional Cloud Architect or Professional Data Engineer.

Multi-Cloud / Modern Data Stack. Exposure to Snowflake, Databricks, dbt, or Apache Iceberg.

Domain Knowledge. Prior experience in BFSI, Healthcare, Retail, or Telecom enterprise data transformations.

Pay: ₹926,000.00 - ₹2,460,000.00 per year

Work Location: Remote