Data Architect - Staff Software Engineer

Overview

Staff Data Architect responsible for defining and governing cloud-native data architecture standards, patterns, and blueprints. The role focuses on scalable data design, governance, modelling, and platform innovation using Databricks, dbt, Azure or GCP, and GenAI-powered solutions.

What you'll do

• Define enterprise data architecture blueprints, reference architectures, and design standards.
• Translate business requirements into scalable data designs with product and engineering teams.
• Lead data domain architecture covering modelling, data mesh, data products, and metadata.
• Establish data quality, lineage, cataloging, and governance frameworks.
• Guide teams on architectural patterns, data design principles, and platform conventions.
• Conduct architecture reviews and provide design authority sign-off.
• Evaluate emerging technologies and improve platform design and reusable architecture assets.

What you'll need

• 9–11 years of experience in data architecture or senior data engineering, including 3 years in architecture-focused work.
• Graduate degree in Computer Science, Information Systems, or equivalent.
• Hands-on cloud-native data architecture experience with Azure or GCP technologies.
• Deep proficiency in lakehouse, medallion, relational, dimensional, and NoSQL data modelling.
• Experience designing data mesh or data product architectures.
• Proficiency in Python and SQL, metadata and lineage tools, and data quality frameworks.
• Familiarity with GitHub, Jenkins, DataOps, and infrastructure-as-code practices.

Nice to have

• Experience with enterprise data governance, privacy compliance, MLOps, feature stores, BI integration, or Terraform and Bicep.
• Experience producing architecture decision records, design diagrams, and platform standards documentation.

Details

• Location: Hyderabad, India.