Databricks Solution Architect

Symphoni HR • Certification required • 1 day ago

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Salary

≈ $34k – $81k per year (Estimated)

Location

In office (Bengaluru)

Seniority

Architect · 12+ years exp

Employment

Full-Time

Confirmed on the employer's own hiring board on Sep 26, 2026. First seen by Alion on Aug 25, 2026.

Overview

Company

Impact

Profile match

Symphoni HR

Mumbai-based executive search and recruitment firm, est. 2003. 100K+ candidates hired, 5K+ C-suite mandates closed, shortlists in 68 hours on average.

symphonihr.com • Mumbai • Bengaluru • Pune • Noida • Gurgaon • Executive Search • Human Resources • Professional Services • 201-500 employees • Est. 2003

This role is for a highly experienced Databricks Solution Architect to design and deliver scalable, high-performance data solutions. You will be instrumental in architecting end-to-end data platforms and engaging with senior stakeholders across analytics, data science, AI/ML, and business teams. The position requires deep technical expertise in Databricks architecture and the ability to drive best practices and innovation.

Our client is a leading global computer software company known for developing innovative data and AI solutions. They operate at a significant scale, serving a diverse international client base. The company fosters a culture of technical excellence, continuous learning, and collaborative problem-solving.

Responsibilities

Design and architect end-to-end data solutions using Databricks for large-scale data platforms
Partner closely with senior leadership 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

Requirements

12-16 years of overall experience in data management or data engineering projects
Strong expertise in Databricks architecture, including Photon, Liquid Clustering, Spark/EMR workloads, and Databricks Autoloader
Hands-on experience with temporal and complex ingestion pipeline patterns, cross-cloud data capture, and high-performance data modeling
Experience with unified data governance and cost optimization strategies
Exposure to IoT, Geospatial data, and AdTech use cases
Strong communication skills with proven ability to work with senior stakeholders
Mandatory Databricks Certification

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