Technical Architect - Generative AI

Description :

Job Title : Technical Architect

Location : Hyderabad (4 days onsite)

Interview Mode : In-person

About the Role :

We are seeking an experienced Technical Architect to join our team in Hyderabad. The ideal candidate will have 10+ years of experience in technical architecture, with a focus on data architecture and hands-on experience with Databricks, Spark ML, and Gen AI technologies. This role involves designing and implementing scalable data solutions, integrating metadata catalogs, and collaborating closely with cross-functional teams and stakeholders to drive successful outcomes.

The Technical Architect will be responsible for providing technical leadership, architecture guidance, and strategic insights for enterprise-scale data platforms and AI initiatives. The role requires excellent communication, stakeholder management, and collaboration skills.

Key Responsibilities :

- Lead the design and implementation of data architecture solutions across large-scale platforms.

- Provide hands-on expertise with Databricks for data processing, cataloging, and pipeline management.

- Develop and implement Spark ML and Generative AI (Gen AI) solutions to support business and analytics requirements.

- Design and integrate metadata catalog solutions to ensure data discoverability, governance, and compliance.

- Collaborate with engineering, analytics, and product teams to deliver high-quality, scalable, and maintainable solutions.

- Translate business requirements into technical architecture and design specifications.

- Ensure solutions adhere to best practices in data security, privacy, and governance.

- Mentor and guide engineering teams on architecture standards, best practices, and new technologies.

- Facilitate technical discussions and provide recommendations to senior leadership and stakeholders.

- Participate in planning, roadmap discussions, and architectural review boards.

Required Skills & Experience :

- 10+ years of professional experience as a Technical Architect or similar role.

- Strong data architecture expertise with hands-on experience in Databricks.

- Experience with Spark ML and Generative AI (Gen AI) applications.

- Proven experience designing and implementing metadata catalog integration.

- Strong understanding of data processing, data modeling, and pipeline architectures.

- Excellent cross-functional collaboration and stakeholder management skills.

- Strong communication skills, capable of presenting complex technical solutions to non-technical stakeholders.

- Experience in enterprise-scale data solutions and cloud-based architectures is a plus.

Preferred Skills :

- Experience with cloud platforms such as Azure, AWS, or GCP.

- Knowledge of data governance, data quality, and compliance frameworks.

- Familiarity with modern DevOps and CI/CD practices for data pipelines.

- Exposure to AI/ML model deployment and monitoring.