nHRMS
Resident Solution Architect – Databricks | 10+ Yrs | Bangalore
Hands-on Databricks Solution Architect in Bangalore who designs, leads, and delivers enterprise-scale Data & AI solutions on the Databricks Lakehouse Platform, acting as a trusted advisor to enterprise clients from discovery through production. Core tech: Databricks, Apache Spark, Delta Lake, AWS/Azure/GCP, MLOps and CI/CD.
- Compensation
- Not disclosed
- Location
- Bangalore, India
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Architecture
- Posted
Skills
Must have
- 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 (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
- Bachelor's degree in Computer Science, Engineering, IT or related discipline
- Databricks Data Engineer Professional Certification (mandatory)
- 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
Nice to have
- Master's degree
- Additional cloud certifications (AWS, Azure or GCP)
Full description
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.