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.
