Software Architect - Data Platform

Overview

Software Architect for the G-P Data Platform, defining and driving the execution of a target-state, Databricks-native data architecture.

What you'll do

• Design and drive a scalable, cloud-native target-state architecture across the end-to-end software platform.
• Define architectural patterns for scalable automated data ingestion.
• Deliver hands-on proof-of-concepts (PoCs) using SQL, PySpark, Serverless Python, or other platform languages.
• Drive architecture consistency, maximize component reuse, and eliminate technical debt.
• Define and enforce data platform security and infrastructure security standards.
• Ensure system reliability with high availability, low latency, and minimal service outages.
• Contribute to AI-powered agentic development capabilities related to the data platform, transformation, and analytics.

What you'll need

• Extensive data architecture experience driving architectural and design decisions in cloud data platforms.
• Strong data modeling and governance experience.
• Strong Databricks experience (or another lakehouse platform based on Spark).
• Proven hands-on capability with the modern data stack and complex technical solutions.
• Expertise developing solutions with SQL and PySpark.
• Experience using agentic AI in the SDLC and GenAI in data workloads for analysis.
• Ability to design data schemas for analytics and reporting consumption.

Nice to have

• Hands-on experience architecting on major public cloud platforms (AWS, GCP, or Azure).
• Experience developing and supporting serverless workloads on a public cloud platform.
• Deep knowledge of modern infrastructure security protocols, data privacy compliance, and access control frameworks.
• Track record in developer enablement, engineering mentorship, and promoting CI/CD best practices.

Details

• Location: India (Remote-First).