Architect

Experience: 8 to 10 years

Location: Mumbai, Maharashtra, India

Skills: Data Architecture, Solution Design, GCP, Azure, Designing Large-scale Data Platforms, Data Pipelines, BI Tools, Power BI, Tableau, SAP BO, Data Modeling, ETL, ELT, Distributed Systems, Modern Data Architectures, Data Lake, Lakehouse, Data Mesh, Data Governance, Data Quality, Lifecycle Management, Stakeholder Management, Leadership, Enterprise Data Platforms, Multi-cloud Environments, CI/CD Pipelines, Automation in Data Engineering, Azure Data Engineering Certifications, GCP Data Engineering Certifications

Job Summary
We are seeking an experienced BI Solution Architect to design and lead the implementation of scalable, secure, and high-performing data and BI platforms across cloud environments (Azure and GCP). In this role, you will define end-to-end data architecture for ingestion, storage, processing, and transformation, while also driving enterprise BI strategy, visualization standards, and reporting governance. You will work closely with business stakeholders, data teams, and enterprise architects to deliver robust, production-ready data and analytics solutions aligned with organizational strategy and scalability goals.

Key Responsibilities
Data Architecture and Solution Design
Define optimal architecture for data ingestion, storage, processing, and transformation across Azure/GCP
Design scalable and resilient data platforms aligned with enterprise architecture standards
Create data models, data flow diagrams, and end-to-end architecture blueprints
Ensure architecture is reviewed and aligned with enterprise and solution architects

Data Platform and Pipeline Design
Design and oversee development of large-scale distributed data pipelines and data products
Define standards for data ingestion, transformation, and serving layers
Enable development of scalable, high-quality data products for analytics and reporting
Promote modern architectures such as data lakes, lakehouses, and data mesh

BI Strategy and Architecture
Drive enterprise BI strategy aligned with business goals and data platform capabilities
Define and standardize BI architecture (cloud/on-premise) and technology stack (e.g., Power BI, Tableau, SAP BO)
Develop reusable blueprints, patterns, and accelerators for BI solutions




Lead evaluation of BI tools and platforms through POCs and recommend optimal solutions
Support industrialization of BI solutions for enterprise-wide adoption

Visualization Governance and Standards
Define and enforce data visualization and dashboard development standards
Establish governance frameworks to improve quality, consistency, and usability of dashboards
Perform technical reviews of dashboards before production deployment
Guide teams in building intuitive, high-performance, and business-friendly visualizations
Support and upskill business users in effective dashboard usage and maintenance

Data Governance and Enterprise Data Management
Define and enforce enterprise data management practices across BI and data platforms
Drive metadata management, master and reference data practices
Define data quality frameworks, validation rules, and monitoring mechanisms
Ensure audit, balance, and control processes for data integrity and consistency
Establish technical glossary and data standards across teams

Security and Access Management
Define and enforce access management and security standards across data and BI platforms
Implement modern security controls for sensitive data
Ensure compliance with organizational data policies and regulatory requirements

Performance Optimization and Monitoring
Define strategies for performance monitoring, tuning, and optimization of data pipelines and dashboards
Ensure high performance, scalability, and responsiveness of BI solutions
Establish monitoring frameworks for proactive issue detection

Leadership and Collaboration
Work closely with Product Owners, Business Analysts, and stakeholders to translate requirements into architecture
Collaborate with data engineers, analysts, and scientists to resolve technical challenges
Act as a domain lead for specific business areas and drive domain-specific data solutions
Mentor and guide data engineers and associate architects





Data Lifecycle and Operations
Own data lifecycle management including ingestion, processing, storage, and archival
Ensure 24/7 reliability and support readiness of critical data and BI platforms
Drive best practices for scalability, resilience, and sustainability

Costing, Planning and Optimization
Perform size estimation and costing for data and BI platforms
Optimize infrastructure and tool usage to reduce total cost of ownership (TCO)
Monitor usage patterns and recommend improvements
Lead development of comprehensive migration strategy and roadmap for Tableau to Power BI transition
Design dual-platform architecture to ensure business continuity during migration
Drive legacy system rationalization and asset optimization strategies

Required Qualifications
8+ years of experience in data engineering, big data, or data architecture roles
Strong expertise in Azure and GCP data ecosystems
Proven experience designing large-scale data platforms and pipelines
Strong experience with BI tools such as Power BI, Tableau, or SAP BO
Deep understanding of data modeling, ETL/ELT processes, and distributed systems
Experience with modern data architectures (data lake, lakehouse, data mesh)
Strong understanding of BI architecture, dashboarding, and visualization best practices
Expertise in data governance, data quality, and lifecycle management
Strong stakeholder management and leadership skills

Preferred Qualifications
Experience with enterprise data platforms and multi-cloud environments
Familiarity with CI/CD pipelines and automation in data engineering and BI
Exposure to real-time/streaming data architectures
Experience leading BI transformation or modernization initiatives
Certifications in Azure or GCP data engineering/architecture

What’s in it for you
Lead architecture for enterprise-scale data and BI platforms
Drive both data engineering and BI strategy at an organizational level
Work on up-to-date cloud ecosystems (Azure and GCP)
High ownership and visibility across business and technology teams
Opportunity to shape long-term data, analytics, and visualization strategy
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !

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