Principal Technical Architect – Business Intelligence
- Compensation
- Not disclosed
- Location
- Powai, Mumbai, MH
- Work setup
- Not specified
- Seniority
- Principal
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Architecture
- Posted
Skills
Must have
- 15+ years of total experience with 10+ years of relevant experience working experience in Business Intelligence Architecture space (POC, technical assessment, Infrastructure ecosystem, Data Engineerin
- Deep experience building enterprise semantic layers (e.g., Power BI DataMart/Composite Models, Cube.js, dbt Semantic Layer, LookML).
- Strong communication skills, capable of translating business requests into technical requirements and articulating the pros and cons of different technologies, platforms, design, and architectural opt
- Proficient in data and analytics tools and services preferably in Google Cloud Platform
Nice to have
- Thought-driven leadership to successfully deliver scalable team management and business solutions.
- Knowledge of latest Business Intelligence landscape and other programming language is a plus.
- Takes the initiative to do the right thing - doesn't walk past a problem.
- Consultant mindset - able to challenge with courage and influence upwards and with peers.
- Agile learner - has passion and curiosity to learn new things and understand the "why
Full description
COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.
OVERVIEW
The Digital & Technology team at General Mills India Centre is seeking a passionate Principal D&T Architect - Business Intelligence. This individual contributor role will partner with D&T teams, business functions, and operating units to define and execute BI architecture, delivering scalable, standardized, and user-friendly data visualization and insights solutions that support business decision-making. The role reports to the D&T Head/Sr. Manager and works closely with Enterprise and BI Architecture teams in an agile environment.
KEY ACCOUNTABILITIES
Product Design, Development & Analytics
- Drive BI architecture, semantic layer strategy, and governance across Looker, LookML, BigQuery, Tableau, and related platforms.
- Design scalable BI solutions, AI-enabled analytics, dashboards, metrics, and enterprise data models aligned with architecture standards.
- Lead AI/GenAI initiatives including RAG, agent architecture, orchestration, knowledge management, and governance.
- Establish reusable modeling patterns, KPI definitions, Git/CI-CD practices, testing, and change control processes.
- Partner with cross-functional teams to resolve technical challenges, optimize performance, and deliver user-friendly analytics solutions.
- Develop prototypes, conduct technology assessments, and ensure compliance with enterprise standards and best practices.
Strategy & Collaboration
- Translate complex business problems into actionable BI, semantic modeling, and AI-driven solutions.
- Partner with business stakeholders and product teams to lead BI strategy, engagement, execution, and delivery.
- Define enterprise standards, reusable frameworks, and tool rationalization strategies.
- Lead POCs and technology evaluations considering scalability, security, performance, integration, and cost.
- Facilitate cross-functional collaboration, establish key metrics, and drive data-informed business decisions.
- Coordinate issue resolution, system improvements, and continuous enhancement of BI capabilities.
MINIMUM QUALIFICATIONS
- 15+ years of total experience with 10+ years of relevant experience working experience in Business Intelligence Architecture space (POC, technical assessment, Infrastructure ecosystem, Data Engineering, Data Warehousing)