About the Company

Our client is a boutique Analytical Consulting firm with offices in India, Singapore & UK.

About the Role

Resident Solution Architect- Databricks Function DATA & AI Consulting Experience: 8+ Years Level: Solution Architect / Senior Solution Architect

Key Responsibilities

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/orGCP.
- Define end-to-end solution architecture, ensuring alignment with business and technical objectives.
- Recommend best practices for data engineering, governance, security, and platform modernization.

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.

ENTERPRISE DELIVERY & IMPLEMENTATION

- Lead end-to-end delivery of enterprise Databricks implementations from discovery through production deployment.
- Successfully deliver large-scale production workloads with a focus on scalability, reliability, and performance.
- Solve complex production challenges involving distributed data processing, platform optimization, and cloud-nativearchitectures.
- Ensure successful delivery within agreed timelines, quality standards, and customer expectations

CLOUD & MODERN DATA PLATFORM





- Design and implement cloud-native data solutions across AWS, Azure, and GCP.
- Collaborate with platform engineering teams to implement CI/CD pipelines and deployment automation.
- Apply Infrastructure-as-Code and DevOps best practices where applicable.
- 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 understand business challenges and translate them into scalable technical solutions.
- Provide technical leadership throughout implementation and post-productionsupport.
- Build trusted advisor relationships with business and technology stakeholders.

Qualifications

- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline.
- Master's degree preferred.
- Databricks Data Engineer Professional Certification (Mandatory).
- Additional cloud certifications (AWS, Azure, orGCP) are highly desirable.

Required Skills

- 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.
- Robust customer-facing consulting and solution architecture experience.
- Experience working with global enterprise customers across multiple industries.

Contact Person

Kanishka Kapoor

📌 Data Architect (India)
🏢 United HR Solutions
📍 India