Data Architect

About the Role:

experience: 12-14 years

We are seeking an experienced Data & AI Architect to lead enterprise-scale Data, Analytics, Cloud, and AI transformation initiatives. The ideal candidate will possess deep expertise in modern data architectures, cloud-native platforms, Generative AI solutions, and enterprise consulting. This role requires a strategic technology leader capable of designing scalable solutions, engaging with senior stakeholders, and driving innovation through advanced AI capabilities.

Key Responsibilities

Data Engineering & Analytics

• Design, modernize, and optimize enterprise-scale ETL/ELT solutions.
• Architect and implement Data Lake, Data Warehouse, and Lakehouse platforms.
• Lead large-scale data migration, integration, and modernization initiatives.
• Define data models, performance optimization strategies, and best practices.
• Establish frameworks for data governance, data quality, metadata management, and security.

Cloud & Data Platforms

• Architect cloud-native data platforms leveraging AWS services and best practices.
• Design scalable, secure, and cost-efficient data ecosystems.
• Lead implementation and optimization of Snowflake and Databricks platforms.
• Drive cloud modernization and enterprise data transformation programs.

AI, Generative AI & Context Engineering

• Design and implement enterprise AI solutions utilizing:Large Language Models (LLMs)
• Agentic AI Frameworks
• Semantic Search
• Retrieval Augmented Generation (RAG)
• Vector Databases
• Prompt Engineering
• Context Engineering, including grounding, memory management, retrieval orchestration, and knowledge integration
• Build intelligent copilots, AI assistants, and autonomous agent-based workflows.
• Integrate Generative AI capabilities into enterprise data platforms and business processes.
• Establish AI governance, responsible AI practices, model evaluation frameworks, and hallucination mitigation strategies.

Architecture & Solution Leadership

• Lead end-to-end architecture and solution design for Data, Analytics, and AI transformation programs.
• Define enterprise architecture standards, reference architectures, governance frameworks, and reusable patterns.
• Conduct architecture reviews, technical assessments, and solution workshops.
• Drive technology roadmaps aligned with business objectives and digital transformation goals.

Stakeholder & Client Management

• Partner with business and technology stakeholders to understand strategic requirements.
• Engage effectively with Director, VP, and CXO-level executives.
• Translate business challenges into scalable and innovative technology solutions.
• Provide strategic consulting and thought leadership across client engagements.

Leadership & Pre-Sales

• Mentor and guide architects, data engineers, and AI practitioners.
• Support pre-sales activities including: Solution definition
• Estimation and effort planning
• Proposal development
• Technical presentations
• Customer workshops
• Lead enterprise digital transformation, cloud adoption, and AI innovation initiatives.

Required Skills & Expertise

Data & Analytics

• Strong expertise in ETL/ELT architecture and modernization.
• Experience with Data Lake, Data Warehouse, and Lakehouse architectures.
• Data modeling, integration, migration, and performance tuning expertise.
• Knowledge of data governance, security, compliance, and data quality frameworks.

Cloud Platforms

• Deep hands-on experience with AWS cloud services.
• Strong expertise in Snowflake and Databricks.
• Experience building enterprise-scale cloud data platforms and analytics ecosystems.

AI & Generative AI

• Hands-on experience with LLMs, RAG, Semantic Search, Vector Databases, and Agentic AI architectures.
• Experience developing enterprise AI copilots and intelligent automation solutions.
• Knowledge of AI governance, responsible AI, model monitoring, and evaluation frameworks.
• Understanding of Context Engineering and advanced AI orchestration approaches.

Consulting & Leadership

• Strong communication, stakeholder management, and consulting skills.
• Proven ability to lead architecture discussions with executive leadership.
• Experience managing cross-functional teams and large transformation programs.
• Strong business acumen with the ability to align technology strategies to business outcomes.

Preferred Qualifications

• 14-16 years of experience in Data Engineering, Cloud, Analytics, and AI domains.
• AWS Certifications (Solutions Architect, Data Analytics, or equivalent) preferred.
• Experience working in global delivery models and customer-facing consulting environments.
• Exposure to modern AI orchestration frameworks such as:LangGraph
• CrewAI
• AutoGen
• Semantic Kernel
• Similar Agentic AI ecosystems

What Success Looks Like

• Deliver scalable, future-ready Data & AI architectures.
• Enable successful cloud modernization and AI transformation programs.
• Drive innovation through modern data platforms and Generative AI solutions.
• Establish architectural excellence, governance standards, and reusable best practices across the organization.