Software Architect - Data Platform

New
G
G-PGlobal Employment Platform
Location: India (Remote-First)Full-TimeSenior
Salary not disclosed
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Job Details

Experience
Minimum of 15 years in the software industry, with a minimum of 3 years in an architecture position
Required Skills
SQLCloud ComputingSoftware ArchitectureData modelingDatabricksGenerative AIPySparkData analytics

Requirements

  • Minimum 15 years of experience in the software industry.
  • Minimum 3 years in an architecture position.
  • Extensive background in driving architectural and design decisions in cloud data platforms.
  • Strong experience with Databricks or Spark-based lakehouse platforms.
  • Proven hands-on expertise in developing solutions with SQL and PySpark.
  • Strong Data Modeling and Governance experience.
  • Experience using agentic AI in SDLC and GenAI in data workloads.
  • Proven ability to design data schemas for analytics and reporting consumption.
  • Ability to evaluate Total Cost of Ownership (TCO) and make technology trade-off decisions.
  • Effective communication skills to explain complex technical concepts and gain stakeholder buy-in.
  • Experience in Security and Access Control, Cloud Operations, or 3rd-Party Integrations.

Responsibilities

  • Design and drive the execution of 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, and Serverless Python to validate design decisions.
  • Drive architecture consistency across all platform components to harmonize integration and eliminate technical debt.
  • Define and enforce data platform security standards and infrastructure security to prevent platform and data breaches.
  • Partner with Product Management to define application analytics strategy and gain business domain understanding.
  • Serve as a strategic sounding board for validating and introducing new technologies and open-source solutions.
  • Contribute to AI-powered agentic development capabilities related to the data platform, transformation, and analytics.
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