Architect - Data Platform and Engineering

F5 F5 · Enterprise · Hyderabad, India

Architect role focused on building and enhancing a data platform, with a significant emphasis on integrating AI capabilities for governance, metadata management, and handling unstructured data across multi-cloud environments.

What you'd actually do

  1. Define and implement the architecture for metadata management, data cataloging, and AI-driven governance frameworks, focusing on unstructured and semi-structured data.
  2. Architect scalable solutions across multi-cloud environments (Azure, AWS) and modern data technologies, including Snowflake, DBT, Databricks, and Fivetran.
  3. Develop automation solutions and optimize SDLC processes for data workflows, including building CI/CD pipelines and streamlining engineering operations.
  4. Drive integration of AI capabilities into governance processes, leveraging models to tag, classify, and monitor data for compliance and usability.
  5. Design unstructured data strategies that address challenges in scalability, security, and dynamic governance.

Skills

Required

  • logical data modeling
  • metadata management
  • scalable architecture
  • data governance frameworks
  • automated governance for unstructured datasets
  • Snowflake
  • dbt
  • Databricks
  • Fivetran
  • Azure
  • AWS
  • GPT-based solutions
  • integrating AI into pipelines
  • governance workflows
  • scalable automation solutions
  • optimize SDLC processes
  • unstructured data strategies

Nice to have

  • CI/CD pipelines

What the JD emphasized

  • unstructured data
  • AI enablement
  • data governance
  • metadata management
  • AI-driven governance frameworks
  • unstructured data strategies
  • AI capabilities into governance processes
  • AI for metadata and compliance purposes

Other signals

  • integrating SaaS AI offerings
  • internal GPT wrapper
  • AI-driven governance frameworks
  • unstructured data strategies