Company Details : Our client is a Data & AI / Business Consulting company.

Designation : Resident Solution Architect - Databricks.

Job Location : Bangalore (Hybrid).

Role Overview :

We are looking for a Resident Solution Architect - Databricks with strong consulting, solution architecture, and enterprise Data & AI experience. The role involves designing and leading enterprise-scale data and AI solutions on the Databricks Lakehouse Platform, driving end-to-end Databricks implementations, and working closely with global enterprise customers to deliver scalable, secure, and high-performance data platforms.

Key Responsibilities :

- 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.

- Lead end-to-end enterprise Databricks implementations from discovery through production deployment.

- Deliver large-scale production workloads with focus on scalability, reliability, and performance.

- Solve complex challenges involving distributed data processing, platform optimization, and cloud-native architectures.

- Develop and optimize enterprise data pipelines using Apache Spark and Databricks.

- Build scalable ETL/ELT frameworks using Delta Lake and modern data engineering practices.

- Drive platform performance tuning, cost optimization, and workload scalability.

- Design and implement cloud-native data solutions across AWS, Azure, and GCP.

- Collaborate with platform engineering teams on CI/CD pipelines, deployment automation, Infrastructure-as-Code, and DevOps practices.

- Support enterprise MLOps implementation and integration with modern AI workflows.

- Lead architecture workshops, technical discovery sessions, and executive presentations.

- Partner with customers to understand business challenges and translate them into scalable technical solutions.

- Provide technical leadership throughout implementation and post-production support.

- Define enterprise architecture standards, implementation best practices, governance frameworks, and reusable solution accelerators.

- Ensure security, compliance, data quality, and operational excellence across implementations.

- Mentor engineering teams and contribute to organizational capability building.

Key Requirements :

- 10+ years of consulting and technology experience.

- Minimum 7+ years of experience in Data Engineering, Data Platforms, or Analytics.

- Minimum 6 - 8 enterprise Databricks implementations delivered in production environments.

- Hands-on enterprise delivery experience is mandatory.

- Strong experience designing and deploying large-scale distributed data platforms.

- Strong customer-facing consulting and solution architecture experience.

- Experience working with global enterprise customers across multiple industries.

- Strong expertise in Apache Spark, Databricks, Delta Lake, and modern data engineering practices.

- Experience with AWS, Azure, and/or GCP.

- Bachelor's degree in Computer Science, Engineering, Information Technology, or related discipline.

- Master's degree preferred.

- Databricks Data Engineer Professional Certification - Mandatory.

- Additional AWS, Azure, or GCP certifications are highly desirable.

- Excellent technical, communication, and presentation skills.

- Strong consulting and problem-solving mindset.

- Executive presence and stakeholder management capabilities.

- Strong customer engagement and workshop facilitation skills.

- Ability to influence technical and business decision-makers.