Resident Solution Architect – Databricks Location: Bangalore | Function: Data & AI Consulting | Experience: 10+ Years | Level: Solution Architect / Senior Solution Architect Are you the architect enterprise clients call when their data platform needs to scale? We're looking for a hands-on Databricks expert to design, lead and deliver enterprise-scale Data & AI solutions on the Lakehouse Platform, working as a trusted advisor to business and technology leaders. Solution Architecture & Design • Design and lead enterprise-scale Data & AI solutions on the Databricks Lakehouse Platform. • Architect scalable, secure and high-performance data platforms across AWS, Azure and/or GCP. • Define end-to-end solution architecture aligned with business and technical objectives. • Recommend best practices for data engineering, governance, security and platform modernization. Enterprise Delivery & Implementation • Lead end-to-end delivery of enterprise Databricks implementations, from discovery through production deployment. • Deliver large-scale production workloads with a focus on scalability, reliability and performance. • Solve complex production challenges in distributed data processing, platform optimization and cloud-native architectures. • Deliver within agreed timelines, quality standards and customer expectations. Data Engineering & Platform Excellence • Develop and optimize enterprise data pipelines using Apache Spark and Databricks. • Build scalable ETL/ELT frameworks using Delta Lake and modern data engineering practices. • Apply deep understanding of Spark architecture, execution plans and runtime optimization. • Drive platform performance tuning, cost optimization and workload scalability. Cloud & Modern Data Platform • Design and implement cloud-native data solutions across AWS, Azure and GCP. • Collaborate with platform engineering teams on CI/CD pipelines and deployment automation. • Apply Infrastructure-as-Code and DevOps best practices. • Support enterprise MLOps implementation and integration with modern AI workflows. Customer Engagement & Consulting • Lead architecture workshops, technical discovery sessions and executive presentations. • Partner with customers to translate business challenges into scalable technical solutions. • Provide technical leadership through implementation and post-production support. • Build trusted-advisor relationships with business and technology stakeholders. • Define enterprise architecture standards, reusable accelerators, coding standards and governance frameworks. • Ensure security, compliance, data quality and operational excellence across implementations. • Mentor engineering teams and contribute to capability building across the organization. Requirements Knowledge & Experience • 10+ years of consulting and technology experience. • Minimum 7+ years in Data Engineering, Data Platforms or Analytics. • Minimum 6–8 enterprise Databricks implementations delivered in production environments. • Hands-on enterprise delivery experience is mandatory. • Experience designing and deploying large-scale distributed data platforms. • Strong customer-facing consulting and solution architecture experience. • Experience with global enterprise customers across multiple industries. Education & Certifications • Bachelor's degree in Computer Science, Engineering, IT or a related discipline (Master's preferred). • Databricks Data Engineer Professional Certification – Mandatory. • Additional cloud certifications (AWS, Azure or GCP) are highly desirable. Soft Skills • Excellent technical competency, communication and presentation skills. • Consulting mindset with strong problem-solving ability. • Executive presence and stakeholder management capability. • Customer engagement and workshop facilitation skills. • Ability to influence technical and business decision-makers. Benefits • Lead high-impact, enterprise-scale Databricks Lakehouse programmes. • Work hands-on with the latest Databricks capabilities: Unity Catalog, Delta Lake, MLOps and GenAI workloads. • High-visibility, client-facing role as a trusted advisor to senior leadership. • Fast-track growth in one of the most in-demand specialisations in Data & AI.