Technical Architect - Databricks

City: Bengaluru

State/Province: Karnataka

Posting Start Date: 1/5/26

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description:

Job Description

Role Purpose

The Technical Architect - Databricks is a pivotal role within Wipro Technologies' TS - DATA ANALYTICS & AI sector, tasked with articulating and delivering advanced architectural solutions to meet complex data platform needs. This role emphasizes providing visionary thought leadership and hands-on expertise to ensure that delivery teams exceed client expectations through innovation, technical excellence, and seamless project execution.

Acting as a senior technology strategist, the Technical Architect will collaborate closely with clients, engineering teams, and leadership to design scalable, secure, and cost-efficient data architectures that leverage the latest developments in the Databricks ecosystem. This position offers a unique opportunity to influence enterprise data strategies, promote best practices, and champion architecture modernization initiatives. The successful candidate will be instrumental in translating intricate business requirements into robust technical solutions that drive transformation and operational excellence at scale.

Ideal candidates should bring 15 years of comprehensive IT experience with a minimum of 6 years focused on hands-on Databricks platform engineering and architecture. This experience should encompass leading the design and delivery of secure, scalable, and high-performing data lakehouse solutions on Databricks aligned with best practices and enterprise standards.

• Proven expertise with Lakehouse Architecture, particularly with Delta Lake features including ACID compliance, schema evolution, versioning, and seamless interoperability.
• Deep experience integrating Databricks with various ETL and orchestration frameworks, ensuring smooth data workflows and operational resilience.
• Strong programming skills in Spark ecosystems using DataFrame APIs, Spark SQL, and proficiency with Python, Scala, and SQL languages.
• In-depth knowledge of Databricks-native functionalities such as Workflows, Delta Live Tables, Unity Catalog, Lakeflow, and Lakehouse Federation.
• Comprehensive expertise in cluster management, workspace configuration, performance tuning including cost optimization, security best practices, and real-time monitoring.
• Hands-on experience with Spark structured streaming incorporating autoloader mechanisms integrated with diverse streaming platforms for near-real-time data processing.
• Demonstrated proficiency with modern DevOps pipelines including CI/CD, infrastructure as code using Terraform, and orchestration with tools like GitHub Actions and Azure DevOps.
• Architectural design and maintenance of scalable, efficient, and resilient data pipelines embodying Databricks platform best practices.
• Well-grounded understanding of data modeling principles spanning conceptual, logical, and physical schema designs to fit enterprise data strategies.
• Proven ability to establish and nurture strong, trusted technical relationships with CXOs and business executives, driving consensus and enabling client success.
• Skilled at translating complex business needs into compelling technical proposals, presentations, and solution demonstrations tailored to diverse stakeholders.
• Experience managing multi-faceted client engagements to drive alignment and commitment across technical and business teams.
• Desirable: exposure to Artificial Intelligence/Generative AI domains and possession of professional certifications in Databricks or cloud platforms (AWS, Azure, GCP).

• Client Centricity: Demonstrate a relentless focus on understanding and exceeding client needs, ensuring all solutions deliver tangible business value.
• Passion for Results: Exhibit commitment and determination to achieve excellence, consistently delivering high-quality outcomes within timelines.
• Execution Excellence: Deploy disciplined approaches to design, development, and deployment, ensuring robust, scalable, and maintainable architectures.
• Collaborative Working: Foster inclusive teamwork, encouraging knowledge sharing and leveraging diverse perspectives to enrich solutions.
• Learning Agility: Stay abreast of emerging technologies and continuously evolve skills to innovate and adapt in a dynamic digital environment.
• Problem Solving & Decision Making: Apply analytical thinking to diagnose issues effectively and make informed decisions that optimize solution fit and performance.
• Effective Communication: Articulate technical and business concepts clearly and persuasively, bridging multidisciplinary stakeholders for alignment.