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Job Description & How to Apply Below
About the Company:
Our client is a trusted global innovator of IT and business services. They help clients transform through consulting, industry solutions, business process services, digital & IT modernisation and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe.
Job Title:
Data Warehouse Architect
Location:
Bangalore, Gurugram
Experience:
8+ yrs
Job Type: Contract to hire
Notice Period:
- Immediate joiner
We are looking for an experienced data warehouse architect with deep expertise in Snowflake, enterprise data modelling, and modern cloud-based analytics platforms. The architect will design, build, and govern scalable data warehouse solutions that support analytics, reporting, and advanced data use cases while ensuring performance, security, and cost optimisation.
Key Responsibilities:
Architecture & Design
Design and maintain enterprise data warehouse architectures
Define logical, physical, and semantic data models (dimensional, 3NF, Data Vault as applicable)
Translate business requirements into scalable data models and technical designs Establish data standards, naming conventions, and modeling best practices
Snowflake Platform Leadership
Architect Snowflake solutions leveraging:
Virtual Warehouses
Clustering & micro-partitioning
Secure data sharing
Time Travel & Zero Copy Cloning
Optimize performance, concurrency, and cost management
Implement role-based access control (RBAC) and data security patterns
Data Integration & Pipelines
Design ingestion and transformation pipelines using tools such as:
Snowflake SQL
dbt
Informatica / Matillion / Fivetran / Azure Data Factory (or similar)
Support batch and near–real-time data processing
Ensure data quality, lineage, and auditability
Governance & Quality
Define and enforce data governance, metadata management, and data quality frameworks
Partner with data governance, security, and compliance teams
Support regulatory and enterprise data requirements
Stakeholder Collaboration
Work closely with:
Business stakeholders
Data engineers & BI developers Product owners and enterprise architects
Provide architectural guidance and design reviews
Mentor junior engineers and modellers.
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