While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!
Role:Architect Data ( BI Solution Architect | Tableau to PowerBI)
Experience: 8-10 Years
Location: Offshore
Must Haves:
Data Architecture & Solution Design (GCP and Azure), Designing Large-scale Data Platforms & 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
Good to Have:
Enterprise Data Platforms & Multi-cloud Environments, CI/CD Pipelines & Automation in Data Engineering/BI, Leading BI Transformation/Modernization Initiatives, Azure or GCP Data Engineering/Architecture 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 ResponsibilitiesData 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 modern 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!
Skills Required
- 8+ years in data engineering, big data, or data architecture roles
- Designing data architecture and solution design for Azure and GCP
- Designing large-scale data platforms and distributed data pipelines
- Experience with BI tools: Power BI, Tableau, SAP BO
- Data modeling, ETL/ELT processes, and distributed systems knowledge
- Experience with modern data architectures: data lake, lakehouse, data mesh
- Expertise in data governance, data quality, metadata, and lifecycle management
- Stakeholder management and leadership, mentoring data engineers and architects
- Strong understanding of BI architecture, dashboarding, and visualization best practices
- Experience with enterprise data platforms and multi-cloud environments
- Familiarity with CI/CD pipelines and automation for data engineering/BI
- Exposure to real-time/streaming data architectures
- Experience leading BI transformation or modernization initiatives
- Azure or GCP data engineering/architecture certifications
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Flexible Benefits — Hybrid and work-from-home options are commonly available and perceived as meaningful perks that increase overall package value. Flexibility by team and role often enhances day-to-day experience even when cash pay is not top-tier.
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Healthcare Strength — U.S. materials indicate medical coverage that includes dental and vision, and employee accounts align with having these plans in place. The presence of core health benefits contributes to a baseline of security across key locations.
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Parental & Family Support — Paid parental leave is available in the U.S., with examples citing generous leave lengths. Family-focused policies appear alongside other flexibility features.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
