JD - Databricks Architect Job Summary We are seeking a forward-thinking Databricks Architect to lead the adoption and integration of Databricks as our enterprise AI ML platform This individual will establish the technical architecture drive innovation and ensure seamless collaboration with internal infrastructure teams to align with organizational standards The ideal candidate will empower our data science community with self-service model development and deployment capabilities while ensuring global deployment of AI models in compliance with data sovereignty regulations As a key consultant and influencer you will be expected to bring contemporary best practices foster team growth and continuously improve our data and AI capabilities Key ResponsibilitiesArchitecture Leadership Design implement and optimize scalable secure and compliant Databricks-based AI ML architectures that support advanced analytics data engineering and machine learning workloads Collaboration Compliance Partner with internal infrastructure security and compliance teams to ensure all solutions meet organizational standards and regulatory requirements including data sovereignty and global deployment needs Data Integration Architect and implement robust integrations with diverse internal and external data sources enabling productive data ingestion transformation and access for analytics and AI ML workflows Self-Service Enablement Develop frameworks tools and documentation to enable data scientists and analysts to develop train and deploy models independently fostering a culture of self-service and innovation ModelOps Strategy Develop and implement a comprehensive ModelOps strategy to manage model lifecycle governance versioning and deployment at scale Ensure seamless integration with existing DevOps and DataOps practices623 Performance Governance Optimize Databricks workflows clusters and jobs for performance cost-efficiency and reliability Establish and enforce data governance security and lineage practices Consulting Innovation Serve as a trusted advisor to stakeholders providing thought leadership best practices and innovative solutions to complex data and AI challenges Lead discovery workshops proof-of-concept initiatives and technology evaluations Team Building Mentorship Mentor and upskill team members promote knowledge sharing and build high-performing cross-functional teams focused on excellence in data and AI Global Deployment Architect and support worldwide deployment of AI models ensuring compliance with regional data sovereignty laws and organizational policies Required Skills ExperienceProven Experience 5 years architecting and implementing enterprise-grade data and AI ML solutions preferably with Databricks Apache Spark and cloud platforms AWS Azure GCP Technical Expertise Deep understanding of data lakehouse architectures ETL ELT pipelines data governance and security best practices ModelOps Strategy Demonstrated experience in developing and implementing a ModelOps strategy including model lifecycle management versioning governance and deployment automation Consulting Communication Strong consulting stakeholder management and communication skills with a track record of influencing senior leadership and driving technology adoption Innovation Initiative Demonstrated ability to drive innovation introduce contemporary practices and lead technology transformations Education Bachelor s or Master s degree in Computer Science Engineering or a related field or equivalent experience Desirable AttributesThought Leadership Ability to define and communicate architecture vision roadmaps and best practices to both technical and non-technical audiences Continuous Improvement Passion for learning sharing knowledge and staying ahead of industry trends in data and AI Customer Focus Commitment to delivering measurable business value and exceptional user experiences Business Hours Support CST Hours 5 30pm - 2 30am IST Qualifications Bachelor s Degree Range of Year Experience-Min Year 7 Range of Year Experience-Max Year 9