GCP Data Architect with 13+yrs

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

Benefits offered by this job

Work from home

Job summary

VettedBench seeks a Senior / Principal GCP Data Architect to lead enterprise-scale cloud data platforms in a remote setting. You will design, govern, and optimize data ecosystems on Google Cloud while mentoring engineering teams and translating complex business needs into scalable solutions.

Experience with BigQuery, Dataflow, Pub/Sub, and data governance is required, along with strong SQL/Python skills and a track record in cloud migrations and FinOps awareness.

Qualifications

• 13+ years in data engineering and architecture.
• Deep specialization in Google Cloud Platform.
• Strong data modeling and data governance skills.

Responsibilities

• Architect end-to-end batch and real-time data platforms on GCP.
• Lead legacy-to-cloud migrations from on-premise warehouses.
• Design data models and optimize BigQuery performance and costs.
• Define data governance, IAM, encryption, and DLP strategies.
• Oversee CI/CD and IaC pipelines with Terraform and Cloud Composer.
• Collaborate with AI teams for Vertex AI workloads.
• Mentor senior data engineers and advise clients.

Skills

GCP experience

BigQuery/Dataflow

SQL & Python

Data modeling

Terraform/CI-CD

Remote leadership

Tools

Docker

Kubernetes

Terraform

Git

Job description

GCP Data Architect (13+ Years Experience – Remote Opportunity) tailored for a technology consulting and IT services organization ( HCTPL)

Job Title: Senior / Principal GCP Data Architect

• 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

Benefits

• Work from home

Work Location: Remote