11 Sep
|
bytespoke
|
India
Experience: 10+ Years
Role: Senior Data Architect
Platform: Azure + Snowflake + AWS
Key Responsibilities
Design and architect scalable Snowflake data platforms and enterprise data solutions.
Design Azure Data Factory (ADF) metadata-driven pipelines, data flows, integration runtimes, and orchestration.
Define data models using dimensional, medallion, and ELT architecture patterns.
Manage Snowflake RBAC, warehouses, performance/cost optimization, Snowpipe, Streams & Tasks.
Design AWS S3 integration with Snowflake, including external stages, storage integrations, IAM, and file formats.
Architect secure Azure–AWS cross-cloud connectivity, including networking, secrets management, and encryption.
Define architecture standards for scalability, security, performance, and cost optimization.
Collaborate with engineering and business teams to translate requirements into technical architecture.
Support DevOps/CI-CD using Git, Terraform/ARM, and automated deployments.
Must-Have Skills
Snowflake Architecture
Azure Data Factory (ADF)
Advanced SQL & Data Modeling
Snowpipe, Streams & Tasks
Azure–AWS Cross-Cloud Integration
AWS S3, IAM & Snowflake External Stages
10+ years of Data Architecture experience
Positive to Have
Terraform / ARM / Git / CI-CD
Python / PySpark
Data governance, lineage, cataloging, and data quality
Experience with enterprise-scale cloud data platforms
📌 Azure Data Factory + Snowflake Data Architect (India)
🏢 bytespoke
📍 India