Data & AI Practice Lead

Infomagnus; Hyderabad; On-site; INR 350,000 - 600,000; Full time

Job summary

InfoMagnus is seeking a hands-on Practice Lead, Data & AI (India) to provide senior technical and delivery leadership across the India Data & AI organization. The role collaborates with the VP, Data & AI, the Practice Technical Director in the United States, and the India General Manager.

This is not a project-management role; the candidate must remain a credible solution architect and engineering leader capable of improving complex Data & AI engagements.

Qualifications

• 15+ years of progressive experience in Data & AI engineering, architecture, consulting, or technical delivery, including significant recent hands-on responsibility.
• 5+ years leading senior technical teams, architects, Development Leads, or multi-team engineering delivery.
• Demonstrated experience designing and delivering enterprise data platforms, warehouses/lakehouses, integration solutions, analytics platforms, and AI-enabled applications.
• Demonstrated current ability to develop and review production SQL and Python, understand implementation details, evaluate code quality, and troubleshoot complex systems.
• Deep solution-architecture experience across cloud, data, integration, security, governance, reliability, and deployment concerns.
• Hands-on experience with at least two modern cloud data ecosystems such as Azure, Databricks, Snowflake, Microsoft Fabric, AWS, or GCP.

Responsibilities

• Lead end-to-end solution architecture for enterprise Data & AI engagements, from discovery and technical scoping through implementation and production readiness.
• Contribute directly to client projects as a senior architect and technical lead, including hands-on design, development, code review, troubleshooting, and delivery support.
• Review and improve architectures, data models, integration patterns, AI designs, security approaches, deployment strategies, and nonfunctional requirements.
• Provide technical direction across modern data platforms, cloud data engineering, analytics, machine learning, generative AI, RAG, and agentic solutions.
• Lead technical investigations for complex delivery, performance, data quality, reliability, and production issues.
• Directly lead and coach India Development Leads; provide indirect technical leadership to Project Leads and delivery teams.
• Participate actively in hiring, including role definition, technical interviews, case-study evaluation, evidence-based feedback, and hiring recommendations.
• Mentor architects, Development Leads, and engineers; identify skill gaps and recommend technical development, learning, certification, and stretch opportunities.
• Provide staffing and workforce recommendations to the VP, Data & AI while operational leadership and final resource Allocation decisions remain with the VP, Data & AI.

Skills

Data & AI engineering

Technical leadership

Solution architecture

Cloud data platforms

Job description

InfoMagnus is seeking a hands‑on Practice Lead, Data & AI (India) to provide senior technical and delivery leadership across the India Data & AI organization. The role works in coordination with the VP, Data & AI, the Practice Technical Director in the United States, and the India General Manager.

Role-definition principle
This is not a project‑management or resource‑management position. The successful candidate must remain a credible, hands‑on solution architect and engineering leader who can personally improve complex Data & AI engagements.

Role Allocation

Allocation

Focus

Representative Activities

25%

People leadership, delivery governance, hiring and mentoring

Coach Development Leads; provide indirect leadership to Project Leads; review project health; support escalations; participate in hiring; mentor technical talent; recommend development plans.

65%

Architecture, technical leadership and client delivery

Lead solution architecture; contribute to client delivery; review designs and code; establish technical direction; troubleshoot complex issues; support technical scope; improve delivery quality.

10%

Practice initiatives

Contribute to internal products, Innovation PODs, reusable IP, accelerators, engineering standards, reference architectures, technical playbooks and enablement.

Key Responsibilities

• Lead end‑to‑end solution architecture for enterprise Data & AI engagements, from discovery and technical scoping through implementation and production readiness.
• Contribute directly to client projects as a senior architect and technical lead, including hands‑on design, development, code review, troubleshooting, and delivery support.
• Review and improve architectures, data models, integration patterns, AI designs, security approaches, deployment strategies, and nonfunctional requirements.
• Provide technical direction across modern data platforms, cloud data engineering, analytics, machine learning, generative AI, RAG, and agentic solutions.
• Lead technical investigations for complex delivery, performance, data quality, reliability, and production issues.
• Directly lead and coach India Development Leads; provide indirect technical leadership to Project Leads and delivery teams.
• Participate actively in hiring, including role definition, technical interviews, case‑study evaluation, evidence‑based feedback, and hiring recommendations.
• Mentor architects, Development Leads, and engineers; identify skill gaps and recommend technical development, learning, certification, and stretch opportunities.
• Provide staffing and workforce recommendations to the VP, Data & AI while operational leadership and final resource‑allocation decisions remain with the VP, Data & AI.

Required Qualifications

• 15+ years of progressive experience in Data & AI engineering, architecture, consulting, or technical delivery, including significant recent hands‑on responsibility.
• 5+ years leading senior technical teams, architects, Development Leads, or multi‑team engineering delivery.
• Demonstrated experience designing and delivering enterprise data platforms, warehouses/lakehouses, integration solutions, analytics platforms, and AI‑enabled applications.
• Demonstrated current ability to develop and review production SQL and Python, understand implementation details, evaluate code quality, and troubleshoot complex systems.
• Deep solution‑architecture experience across cloud, data, integration, security, governance, reliability, and deployment concerns.
• Hands‑on experience with at least two modern cloud data ecosystems such as Azure, Databricks, Snowflake, Microsoft Fabric, AWS, or GCP.