Job Purpose
To lead the design development and delivery of enterprise-grade data analytics and AI solutions across multiple parallel projects. The role is responsible for driving technology architecture mentoring teams ensuring engineering excellence and implementing innovative solutions leveraging modern cloud technologies data platforms and emerging AI capabilities.
The incumbent will act as a techno-functional leader capable of managing delivery commitments while defining scalable enterprise architectures and driving adoption of new technologies across the organization.
Duties and Responsibilities
A-Minimum required Accountabilities for this role
Lead multiple parallel projects involving Data Engineering Analytics Cloud and AI implementations.
Design scalable and secure enterprise data architectures and solution blueprints.
Drive technical design reviews code reviews and architecture governance.
Manage end-to-end project delivery including estimation planning execution and stakeholder communication.
Lead development using SQL Databricks Python Azure Data Factory (ADF) and cloud-native services.
Define data models integration patterns and reusable frameworks for enterprise use.
Ensure adherence to security compliance scalability and performance standards.
Manage and mentor a team of 6-8 engineers and support their technical growth.
Collaborate with business teams to convert requirements into scalable technical solutions.
Drive engineering best practices including DevOps CI/CD automation and monitoring.

B-Additional Accountabilities pertaining to the role
Evaluate and implement emerging technologies and innovative solutions.
Lead AI/GenAI Machine Learning and Intelligent Automation initiatives.
Define technology roadmaps aligned with organizational goals.
Support architecture review boards and technology strategy discussions.
Optimize cloud and platform costs through architecture improvements.




Establish reusable accelerators frameworks and data products.
Create proof-of-concepts (POCs) for modern technologies and business use cases.
Drive modernization and migration initiatives from legacy platforms to cloud ecosystems.
Support vendor evaluation and technology selection decisions.
Major Challenges
Managing multiple concurrent projects with competing priorities.
Balancing solution scalability performance security and cost optimization.
Driving technology transformation while ensuring delivery commitments.
Maintaining architecture consistency across diverse business domains.
Keeping pace with rapidly evolving AI cloud and data technologies.
Building high-performing technical teams and developing future leaders.
Managing stakeholder expectations across business and technology groups.
Required Qualifications and Experience
BE/BTech/MCA/MTech in Computer Science Information Technology Data Engineering or related disciplines.
Professional certifications in Azure Databricks Cloud Architecture AI/ML or Enterprise Architecture are highly preferred.

a)Work Experience
7-12 years of experience in Data Engineering Solution Architecture Analytics or Enterprise Technology Delivery.
Proven experience leading teams of 6-8 members in an enterprise environment.
Experience managing multiple parallel projects and stakeholders.
Strong expertise in enterprise architecture and solution design.
Hands-on experience with large-scale data platforms and cloud ecosystems.
Experience driving technology transformation and modernization initiatives.
Demonstrated success in delivering complex business-critical solutions.
Solid communication stakeholder management and leadership skills.
Experience mentoring technical teams and fostering innovation.
Strong analytical problem-solving and decision-making abilities.
Ability to influence architecture decisions across teams and business functions.

Required Experience:

Senior IC

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