Data Architect

Bengaluru
May 7, 2026
Full Time
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Job Description

We are looking for an experienced Data Architect with strong expertise in modern cloud data platforms, AI-ready architectures, and large-scale data engineering solutions. This role focuses on designing scalable data ecosystems, integrating AI/GenAI capabilities, and enabling enterprise-wide analytics and intelligent applications.

The ideal candidate should have deep experience in data architecture, lakehouse platforms, cloud technologies, ETL/ELT pipelines, and AI-integrated data systems.

Responsibilities

Architecture & Strategy

  • Define and evolve enterprise data architecture across digital platforms
  • Translate business requirements into scalable and resilient technical solutions
  • Maintain architectural roadmaps, standards, and governance frameworks
  • Collaborate with architects, analysts, engineers, and analytics teams

Data Engineering & Platform Development

  • Design and implement modern ELT/ETL pipelines using Python, SQL, Spark, Scala, and Databricks
  • Build cloud-native data platforms on Azure, AWS, or GCP
  • Develop reusable AI accelerators, templates, and frameworks

AI & GenAI Integration

  • Design AI-ready data models for:
    • RAG (Retrieval-Augmented Generation)
    • Agent orchestration
    • Multimodal AI pipelines
  • Implement vector databases, semantic retrieval, chunking logic, and hybrid search systems
  • Support AI/ML and GenAI integration into enterprise platforms

Operations & Governance

  • Ensure scalability, security, observability, and cost optimization
  • Drive PoC-to-production transitions
  • Apply DataOps and DevOps best practices with CI/CD automation

Requirements

  • 12+ years of experience in data architecture and engineering
  • Strong expertise in cloud data platforms (Azure / AWS / GCP)
  • Experience with lakehouse architectures (Databricks, Microsoft Fabric)
  • Advanced proficiency in Python, SQL, Spark, and Scala
  • Experience with ETL/ELT tools like Informatica, Talend, or Fivetran
  • Strong understanding of data modeling (ERD, Star Schema, Snowflake Schema)
  • Knowledge of Docker and Kubernetes
  • Experience integrating AI/ML and GenAI systems into enterprise platforms
  • Familiarity with REST APIs, GraphQL, and event-driven systems

Skills

  • Data Architecture
  • Data Lakehouse Architecture
  • Databricks / Microsoft Fabric
  • Python / SQL / Spark / Scala
  • ETL / ELT Pipelines
  • AI & Generative AI Integration
  • RAG Architecture
  • Vector Databases & Semantic Search
  • Data Modeling (Star/Snowflake Schema)
  • Azure / AWS / GCP
  • Docker / Kubernetes
  • CI/CD & DataOps
  • REST APIs / GraphQL

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