This role involves defining and governing architectural standards for a global cloud-native data platform powering Gap Inc.'s retail brands
Job Summary
This role involves defining and governing architectural standards for a global cloud-native data platform powering Gap Inc.'s retail brands.
The successful candidate will lead data domain architecture including data mesh design, metadata management, and collaboration with ML engineers on feature stores.
As part of the GapTech Hyderabad hub, you will mentor peers and drive the long-term data strategy for iconic global brands.
Matching Summary
This role involves defining and governing architectural standards for a global cloud-native data platform powering Gap Inc.'s retail brands.
Skills & Requirements
Must-have
9-11 years Data Architecture experience
Azure Databricks and Unity Catalog expertise
Lakehouse and Medallion architecture patterns
Data mesh and data product design
Metadata management and lineage tools
Python and SQL proficiency
CI/CD and DataOps practices
Nice-to-have
Enterprise data governance frameworks
GDPR and CCPA regulatory compliance
MLOps platforms and feature stores
API design and integration patterns
Infrastructure-as-code with Terraform
Power BI and Looker platform integration
Architecture decision record documentation
Key Requirements
Graduate degree in Computer Science or equivalent
3+ years in architecture-focused capacity
Deep proficiency in Azure or GCP data stacks
Strong analytical thinking and communication skills