Data Architect

Evnek Technologies Pvt Ltd; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Evnek Technologies Pvt Ltd in Bengaluru is seeking an experienced Data Architect – Delivery to lead multiple AI and Data Engineering engagements. You will oversee delivery, ensure projects meet scope, time, and quality, and guide cross-functional engineering teams in a fast-paced environment.

The role requires strong leadership, architecture review, and client engagement skills, with hands-on oversight of AI, LLMs, RAG, and cloud platforms.

Qualifications

• 12–20 years of experience in software engineering, data, AI, or enterprise tech.
• Minimum 5 years leading engineering or delivery teams.
• Experience delivering enterprise AI, data engineering, analytics, or cloud projects.
• Strong client-facing consulting or professional services experience.
• Experience working in fast-paced, high-growth environments.

Responsibilities

• Lead delivery pods across AI, Data Engineering, and Analytics projects.
• Own sprint planning, backlog management, delivery quality, and execution.
• Mentor and coach engineering teams; conduct performance reviews.
• Manage client expectations and provide delivery updates.
• Improve delivery processes, governance, and metrics.

Skills

Leadership

Communication

Client facing

Mentoring

Delivery management

Strategic thinking

Education

Bachelor's degree in CS/related field

Tools

Generative AI

LLMs

RAG

MLOps

DevOps

Cloud platforms

Job description

Role: Data Architect / Manager
Experience: 10- 15Yrs

Notice Period: Immediate or max 15days Preferred

About the Role

We are looking for an experienced Data Architect – Delivery to lead the successful execution of multiple AI and Data Engineering engagements. This role combines delivery leadership, technical oversight, team management, and client engagement.

You will be responsible for ensuring projects are delivered on time, within scope, and with high quality while leading cross-functional engineering teams in a fast-paced environment.

Key Responsibilities

Delivery Management

• Lead multiple delivery pods across AI, Data Engineering, and Analytics projects.
  
• Own sprint planning, backlog management, delivery quality, and execution.
  
• Track project risks, dependencies, and escalations.
  
• Ensure successful execution of project milestones and SOW commitments.
  
• Manage AI Engineers, Data Engineers, Architects, Scrum Leads, and Technical Leads.
  
• Mentor and coach engineering teams.
  
• Conduct performance reviews and support career development.
  
• Drive engineering excellence and delivery best practices.
  

Technical Leadership

• Review solution architecture and technical designs.
  
• Guide teams on AI, LLMs, RAG, Agentic AI, Data Engineering, and Cloud platforms.
  
• Ensure scalable, secure, and production-ready solutions.
  
• Collaborate with solution architects on technical decisions.
  

Client Management

• Participate in discovery workshops and solution discussions.
  
• Provide delivery updates to stakeholders.
  
• Manage client expectations and resolve delivery issues.
  
• Build trusted relationships with business and technical stakeholders.
  

Operational Excellence

• Improve delivery processes and governance.
  
• Support hiring and technical interviews.
  
• Monitor resource utilization and delivery metrics.
  

Requirements

Required Experience

• 12–20 years of experience in Software Engineering, Data Engineering, AI, or Enterprise Technology.
  
• Minimum 5 years leading engineering or delivery teams.
  
• Experience delivering enterprise AI, Data Engineering, Analytics, or Cloud projects.
  
• Strong client-facing consulting or professional services experience.
  
• Experience working in fast-paced, high-growth environments.
  

Technical Skills

• Generative AI, LLMs & RAG
  
• Agentic AI Frameworks
  
• MLOps / DevOps
  
• Technical Architecture
  

Preferred Qualifications

• Strong understanding of modern Data & AI architecture.
  
• Ability to manage multiple concurrent projects.
  
• Excellent communication and leadership skills.
  
• Startup or product engineering experience is an advantage.