Resident Solution Architect – Databricks | 10+ Yrs | Bangalore (Bengaluru)

Resident Solution Architect – Databricks | 10+ Yrs | Bangalore (Bengaluru)

15 Oct
|
N Human Resources u0026 Management Systems
|
Bengaluru

15 Oct

N Human Resources u0026 Management Systems

Bengaluru

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.
- Solid 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.

📌 Resident Solution Architect – Databricks | 10+ Yrs | Bangalore (Bengaluru)
🏢 N Human Resources u0026 Management Systems
📍 Bengaluru

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