GCP Data Architect

Job Title: GCP Data Architect – Analytics & BI Platform

Location: Bangalore, Karnataka, India

Work: Full Time

Salary: ₹30,00,000/ Yearly

Job Summary:

We are seeking an experienced GCP Data Architect with deep expertise in Google Cloud Platform (GCP) and a strong foundation in BI architecture, data layering, and performance optimization. This role will be responsible for designing and delivering scalable, governed, and cost-efficient enterprise data platforms leveraging BigQuery, Looker, and the GCP AI & Data ecosystem.

The ideal candidate will play a strategic role in data modernization, advanced analytics enablement, and AI adoption, while ensuring robust data governance, security (including row-level access controls), and best-in-class BI performance optimization.

Role Summary:

As a GCP Data Architect, you will define and implement end-to-end cloud-native data and BI architectures, spanning raw, curated, and mart layers. You will collaborate closely with data engineering, analytics, and business teams to enable trusted, high-performing, and scalable analytics solutions that support enterprise decision-making and AI-driven insights.

Key Responsibilities:

Architecture & Platform Design

• Design and implement cloud-native data and BI architectures on GCP, aligned with enterprise standards and best practices.
• Define and manage data layers (raw, curated, semantic/mart layers) to support scalable analytics and reporting.
• Architect modern BI and analytics platforms using BigQuery and Looker.

Data Modeling & Optimization

• Design optimized data models and marts for analytics and self-service BI use cases.
• Apply BigQuery optimization techniques (partitioning, clustering, query optimization, cost controls).
• Lead mart-layer optimization to improve query performance, usability, and cost efficiency.
• Drive Looker / BI tool optimization, including LookML design, caching strategies, derived tables, and performance tuning.

Analytics, BI & Governance

• Establish best practices for BI architecture, semantic modeling, and governed data consumption.
• Implement row-level and column-level security to ensure secure data access across user groups.
• Ensure data quality, consistency, and governance across all data layers.
• Collaborate with stakeholders to define analytics requirements and translate them into scalable data solutions.

Data Modernization & AI Enablement

• Lead data modernization initiatives, including migration of legacy data platforms to GCP.
• Enable and support AI/ML use cases using GCP services such as Vertex AI.
• Partner with data science and ML teams to operationalize analytics and AI solutions.

Leadership & Collaboration

• Provide technical leadership and architectural guidance to data engineering and analytics teams.
• Define standards, reference architectures, and reusable patterns.
• Communicate effectively with business and technical stakeholders to align solutions with business goals.

Required Skills & Experience

• Strong hands-on experience with BigQuery, Looker, LookML, and core GCP data services.
• Solid understanding of BI architecture, semantic modeling, and analytics design patterns.
• Proven experience working with multi-layered data architectures (raw, curated, mart).
• Expertise in performance and cost optimization for data warehouses and BI tools.
• Hands-on implementation of row-level security and governed data access.
• Strong understanding of data engineering, data modeling, and analytics workflows.
• Familiarity with AI/ML concepts and GCP AI services.
• Excellent communication and stakeholder engagement skills.

Preferred Qualifications

• Google Cloud certifications (Professional Data Engineer, Professional Cloud Architect, or equivalent).
• Experience with streaming pipelines, data governance frameworks, and MLOps.
• Background delivering large-scale enterprise analytics and BI programs.

Education

• Bachelor's degree in computer science, Data Engineering, Information Systems, or equivalent practical experience.