Experience
7+ years of experience in Data Architecture, Data Engineering, or Cloud Data roles.
Minimum 5 years of hands-on experience with Azure and/or AWS cloud platforms.

Mandatory Skills
Solid hands-on experience with Snowflake (Mandatory).
Experience designing and implementing enterprise Data Platforms, Data Lakes, and Data Warehouses.
Hands-on experience with SQL, ETL/ELT, data modeling, and APIs.
Experience with Azure/AWS data services such as Azure Data Factory, Azure Synapse, Databricks, AWS Glue, Redshift, S3, and DynamoDB.
Good understanding of modern data architecture patterns such as Data Mesh, Lakehouse, Event-driven, and Serverless architectures.
Knowledge of data security, governance, encryption, access management, and compliance frameworks.




Experience with CI/CD pipelines and Infrastructure as Code (IaC) is preferred.
Azure/AWS Data or Solution Architect certifications are an added advantage.

Education
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or equivalent.

Key Competencies
Strong communication and stakeholder management skills.
Ability to work with business and technical teams in global settings.
Strong documentation and problem-solving skills.
Self-driven, team-oriented, and focused on delivering scalable and governed data solutions.
Experience mentoring teams and driving best practices is preferred.

📌 Data Architect Snowflake Azure & Aws Bengaluru (India)
🏢 Quess
📍 India