Software Architect - Data Platform
at Globalizationpartners
India (Remote-First), remote, senior, full time, 15+ years
posted 16 Sept 2026
- GenAI
- Azure
- PySpark
- SQL
- GCP
- CI/CD
- Databricks
- Spark
- Data Modeling
- Data Governance
- AWS
- Python
About the role
As the Data Architect for the G-P Data Platform, you will be responsible for defining and driving the execution of our target-state, Databricks-native architecture across our data platform. This role balances strategic technical leadership with hands-on technical execution, ensuring our engineering investments align directly with customer expectations and our long-term technology vision.
Reporting into the Architecture team, you will work in close partnership with Product Management, Cloud Operations, Business Operations, and cross-functional engineering squads. You will act as a trusted technical advocate and mentor, driving platform consistency, lowering total cost of ownership (TCO), and further enhancing our world-class data analytics and reporting capabilities.
What you would do
- Target-State Architecture: Design and drive the execution of a scalable, cloud-native target-state architecture across the end-to-end software platform.
- Ingestion architecture: Define architectural patterns for scalable automated data ingestion
- Hands-on Execution & PoCs: Deliver hands-on proof-of-concepts (PoCs) alongside engineering teams using SQL, PySpark, Serverless Python or other platform languages to validate design decisions.
- Governance & Consistency: Drive architecture consistency across all platform components to harmonize integration, maximize component reuse, and eliminate technical debt. Act as an SME for data governance designs and implementation.
- Security & Compliance: Define and enforce data platform security standards and infrastructure security to prevent platform and data breaches.
- Product & Business Alignment: Partner with Product Management to define our application analytics strategy and gain a deep business understanding of aligned domain areas.
- Technology Innovation: Serve as the strategic sounding board for validating and introducing new technologies, open-source solutions, and 3rd-party applications.
- System Reliability: Ensure system and infrastructure architecture design results in high availability, low latency, and minimal service outages as a core measure of success.
- Engineering Excellence: Evangelize architectural best practices, educate engineering teams, and advocate for continuous improvement and developer enablement.
Read from job-boards.greenhouse.io, last seen 4d ago.