Walk in at Chennai

Date:25-Jul-26

Job Description:
Skills and Experience Required
10+ years of overall experience in architecting and building data and analytics solutions including data modeling, ETL/ELT pipelines and performance optimization.
Deep knowledge of Snowflake features such as virtual warehouses, micro-partitions, data sharing and security best practices.
Solid SQL skills for complex queries, stored procedures, and optimization; familiarity with Python or other scripting languages for automation.
Hands-on experience with Azure and/or AWS services (e.g., S3, Azure Data Lake, IAM, networking) for hybrid or multi-cloud architectures.
Expertise in implementing role-based access control, encryption, compliance standards and auditing within Snowflake and cloud settings.
Ability to optimize compute/storage costs, manage workloads, and tune queries for high performance.
SnowPro Core or Advanced Architect certification is a solid plus.
Ability to lead architecture discussions, mentor teams and collaborate with business and technical stakeholders




Excellent communication, presentation, and interpersonal skills
Experienced in working in a customer facing role

Responsibilities:
Conduct workshops with business and IT stakeholders to capture, document and summarize data, integration and analytics requirements for the Snowflake.
Design optimized data models and schemas
Integrate Snowflake with multiple data sources and platforms (on‑prem DBs, files, APIs, Azure/AWS services, Kafka/ETL tools) ensuring secure, reliable data ingestion and curation.
Establish governance and security standards—RBAC, network policies, SSO/MFA, data classification, masking and secure data sharing across accounts/partners.
Optimize performance and cost by tuning virtual warehouses, managing micro‑partitions/clustering, caching, query profiling and workload isolation for concurrency and throughput.
Guide the technical team on architecture patterns and mig

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