Solution Architect

Job Title: Solution Architect – Databricks

Location: Any EXL Office (India) Work Model: Hybrid (3–4 days/week onsite)
About the Role

Looking for a highly experienced Solution Architect – Databricks to design and deliver scalable, high-performance data solutions. This role requires strong technical depth in Databricks architecture along with the ability to engage senior stakeholders across analytics, data science, AI/ML, and business teams.

Key Responsibilities
● Design and architect end-to-end data solutions using Databricks for large-scale data platforms
● Partner closely with senior leadership (VPs, Directors, Senior Directors) across Analytics, Data Science, AI/ML, and Business teams
● Lead solution design discussions, provide architectural guidance, and drive best practices
● Architect and optimize high-performance data pipelines, ingestion frameworks, and data models
● Ensure cost optimization, scalability, governance, and performance efficiency across platforms
● Enable AI/ML readiness through semantic modeling, data governance, and optimized ingestion patterns
● Mentor technical teams and provide architectural oversight across projects
 

Required Skills & Experience
● 10+ years of overall experience in data management / data engineering projects
● Strong expertise in Databricks architecture, including:
○ Photon
○ Liquid Clustering
○ Spark / EMR workloads
○ Databricks Autoloader
○ AI-assisted coding
○ LLM and ML integration
 

Hands-on experience with:
○ Temporal and complex ingestion pipeline patterns
○ Cross-cloud data capture
○ High-performance data modeling
○ Unified data governance
○ Cost optimization strategies
● Exposure to IoT, Geospatial data, and AdTech use cases
● Strong communication skills with proven ability to work with senior stakeholders
 

Certifications
● Databricks Certification – Mandatory
● Solution Architect Certification – Good to Have
 

Nice to Have
● Experience enabling AI/ML platforms at scale
● Background in analytics-driven or consulting environments
● Experience working across multi-cloud data ecosystems