Resident Solution Architect – Databricks | 10+ Yrs | Bangalore

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.