Lead Data Architect

Kajaria Ceramics Limited; Delhi; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Kajaria Ceramics Limited is seeking a senior data & AI leader to own and drive the enterprise data strategy, design scalable data architecture (data lake, data warehouse and lakehouse), and lead the adoption of Analytics, ML and GenAI to unlock business value.

The role will act as a bridge between business, IT and advanced analytics teams, overseeing data governance, BI tool implementations, KPIs, and cross-functional data programs.

Qualifications

• 8–10 years of experience in data engineering, analytics, or AI/ML.
• Bachelor’s/Master’s in Engineering, Computer Science, Data Science, or related field.
• Experience in building enterprise-scale data platforms.
• Prior experience in AI/ML or GenAI initiatives is preferred.

Responsibilities

• Own and drive enterprise data & AI strategy.
• Design and implement modern data architecture (Data Lake, Data Warehouse, Lakehouse).
• Lead analytics, ML, and GenAI adoption to unlock business value.
• Bridge between business, IT and analytics teams.
• Lead cross-functional teams (data engineers, analysts, data scientists).
• Define KPIs, metrics, and insights frameworks; drive data-driven decisions.

Skills

Data strategy

Stakeholder mgmt

Leadership

Communication

Analytics mindset

Strategic thinking

Education

Bachelor’s or Master’s in CS/Engineering/Data Science

Tools

Power BI

Tableau

Python

TensorFlow

PyTorch

GenAI tools

Job description

The role is responsible for owning and driving the enterprise data & AI strategy, designing and implementing scalable data architecture (data lake, data warehouse, pipelines), and leading the adoption of Analytics, ML, and GenAI to unlock business value. The role will also act as a bridge between business, IT, and advanced analytics teams.

Key Responsibilities

• Design and implement modern data architecture (Data Lake, Data Warehouse, Lakehouse)
• Define data models, standards, governance, and security frameworks
• Ensure high availability, performance, and cost optimization of data platforms
• Enable self-service analytics and reporting platforms
• Lead implementation of BI tools and dashboards
• Partner with business teams to define KPIs, metrics, and insights frameworks
• Drive adoption of data-driven decision making

3. AI / ML / GenAI Initiatives

• Identify and deliver high-impact AI/ML use cases (forecasting, recommendations, optimization)
• Lead development and deployment of machine learning models
• Drive adoption of Generative AI use cases (automation, copilots, knowledge assistants)
• Ensure responsible AI practices including model governance and explainability

4. Data Governance & Quality

• Establish data governance framework (catalog, lineage, ownership)
• Ensure data quality, consistency, and compliance

5. Stakeholder & Program Leadership

• Work closely with business leaders to translate requirements into data solutions
• Lead cross-functional teams (data engineers, analysts, data scientists)
• Manage vendors, partners, and external technology providers
• Drive roadmap execution aligned to business priorities

Key Skills & Expertise

Technical

• Expertise in ETL/ELT tools, data pipelines, and data modeling
• Hands-on with BI tools (Power BI, Tableau, etc.)
• Experience in ML frameworks (Python, TensorFlow, PyTorch, etc.)
• Exposure to GenAI / LLM ecosystems

Functional

• Strong understanding of analytics use cases across sales, marketing, supply chain, finance
• Ability to translate business problems into data & AI solutions

Leadership

• Experience in leading data & AI teams or large programs
• Strong stakeholder management and communication skills
• Ability to operate in both strategic and hands-on roles

Experience & Qualifications

• 8-10 years of experience in data engineering, analytics, or AI/ML
• Bachelor’s/Master’s in Engineering, Computer Science, Data Science, or related field
• Experience in building enterprise-scale data platforms
• Prior experience in AI/ML or GenAI initiatives is preferred