Sr. Data Architect

• Act as a trusted advisor to client stakeholders, business leaders, and technical teams.
• Identify and develop opportunities for account growth, upselling, and cross-selling Data & AI services.
• Partner with account managers and sales teams to build strategic account roadmaps.
• Conduct client workshops, solution envisioning sessions, and executive presentations.
• Support proposal development, solution estimation, RFPs, and pre-sales activities.
• Drive innovation discussions and help clients define their Data & AI transformation journey.

• Collaborate with business stakeholders, product owners, architects, delivery teams, and executive leadership.
• Lead cross-functional teams comprising Data Engineers, AI Engineers, Data Scientists, Analysts, and Cloud Engineers.
• Mentor architects and technical leads on architecture and delivery best practices.
• Foster a culture of innovation, continuous learning, and engineering excellence.
• Communicate complex technical concepts effectively to both technical and non-technical audiences.

• Hands on Snowflake, specially performance, design, FinOps, Cortex ecosystem. CoWork + CoCo will be added advantage
• Modern Data Platforms and Lakehouse architectures
• Data Warehousing and Data Modeling
• ETL/ELT and Data Integration
• Real-time and Batch Data Processing
• Data Governance, Data Quality, and Metadata Management

• Hands on/project experience on multi-agentic workflows and LangGraph / CrewAI framework / AWS Bedrock /Azure AI Foundry

• LLMs and Prompt Engineering

• AI Governance, Responsible AI, and Model Monitoring

• Microsoft Azure
• AWS

• DataOps and MLOps
• CI/CD and DevSecOps
• API and Microservices Architecture
• Containerization and Kubernetes
• Performance and Cost Optimization

• Strong technical leadership and architecture mindset
• Delivery and program ownership
• Business acumen and account growth orientation
• Executive stakeholder management
• Excellent communication and presentation skills
• Strong problem-solving and decision-making abilities
• Team mentoring and leadership capabilities
• Customer-centric mindset

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
• Relevant certifications in Cloud, Data Engineering, Architecture, AI/ML, or Generative AI.
• Experience leading large-scale enterprise Data & AI transformation programs.
• Experience working with global clients and executive stakeholders.

This JD positions the role as a Senior Architect who is not only a technical expert but also owns delivery outcomes and contributes to account growth and business expansion.