Senior Solution Architect | Databricks | Cloud Data Platforms

Senior Solution Architect | Databricks | Cloud Data Platforms

Location: Bangalore, India (Hybrid)

Employment Type: Full-time / Contract

Enterprise Data & Cloud Transformation Environment

Shape the Future of Enterprise Data Platforms

We are looking for an experienced Senior Solution Architect to lead the design and evolution of enterprise-scale Cloud Data Platforms built on modern Databricks Lakehouse architecture.

This is a high-impact architecture role where you will help define technology standards, shape cloud data strategy, and guide engineering teams in delivering secure, scalable, and cost-efficient data solutions across Azure and AWS environments.

You will collaborate with global stakeholders across engineering, security, networking, analytics, and business teams to enable next-generation data capabilities supporting analytics, reporting, governance, AI/ML initiatives, and real-time data processing.

If you are passionate about enterprise architecture, cloud technologies, data platforms, and large-scale transformation initiatives, this is an opportunity to influence strategic technology decisions and drive meaningful business outcomes.

What You Will Do

Enterprise Data Platform Architecture

• Lead the architecture and evolution of enterprise-scale Databricks Lakehouse platforms.
• Define reference architectures, standards, and best practices for cloud-native data ecosystems.
• Drive platform scalability, performance optimization, reliability, and cost efficiency.
• Support the adoption of modern data engineering and analytics capabilities across the organization.

Cloud Architecture & Security

• Design secure and scalable cloud solutions across Azure and AWS environments.
• Partner with security and networking teams to implement enterprise-grade connectivity and governance frameworks.
• Ensure compliance with security, risk, regulatory, and governance requirements.

Data Governance & Quality

• Define architectural approaches for:
• Data Governance
• Metadata Management
• Data Lineage
• Data Quality
• Master Data Management (MDM)
• Support enterprise-wide data management initiatives and governance frameworks.

Analytics, AI & Innovation

• Enable advanced analytics and reporting capabilities.
• Support integrations with Power BI, Tableau, and modern analytics platforms.
• Contribute to AI/ML enablement and data-driven innovation initiatives.
• Design architectures supporting both batch and real-time data processing.

Technical Leadership

• Provide architectural guidance to Solution Architects, Data Engineers, and development teams.
• Lead design reviews and architecture governance activities.
• Mentor teams and promote engineering excellence.
• Stay at the forefront of emerging cloud, data, and AI technologies.

What We Are Looking For

Required Experience

• 8+ years of experience in:

-Solution Architecture

-Cloud Architecture

-Enterprise Data Platforms

-Software Engineering

-Data Architecture

• Strong expertise in:

-Databricks Architecture

-Apache Spark

-Delta Lake

-Data Lake / Lakehouse Architectures

-Azure Cloud Architecture

-ETL / ELT Design

• Distributed Data Processing
• Experience designing and delivering enterprise-scale data platforms in complex and highly governed environments.
• Strong stakeholder management and cross-functional collaboration skills.

Preferred Experience

Experience with any of the following is highly desirable:

• AWS Architecture and Data Services
• Azure Data Factory
• AWS Glue
• Kafka
• Fivetran
• Power BI
• Tableau
• Microsoft Fabric
• Snowflake
• Amazon Redshift
• Docker
• Kubernetes
• CI/CD Pipelines
• Event-Driven Architectures
• Real-Time Data Streaming
• AI/ML Enablement Platforms

Why Join Us?

• Work on enterprise-scale cloud and data transformation initiatives.
• Influence architecture strategy across global platforms.
• Collaborate with highly skilled engineering and data teams.
• Drive innovation in Databricks, analytics, governance, and AI/ML ecosystems.
• Exposure to modern cloud-native architectures and emerging technologies.
• Opportunity to shape the future of data-driven decision-making within a complex global environment.