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

- Strong 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 environments.
- Robust documentation and problem-solving skills.
- Self-driven, collaborative, and focused on delivering scalable and governed data solutions.
- Experience mentoring teams and driving best practices is preferred.

📌 Data Architect - Snowflake (Azure & AWS) (Bengaluru)
🏢 Quess
📍 Bengaluru