Location Name: Pune Corporate Office - Mantri

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 up-to-date 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.
- 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.
- Strong 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.

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