Greetings from SP Staffing Services

Reaching out to you regarding permanent MNC opportunity

Job Description:

Location: Pan India

Experience : 6 Yrs- 20 yrs

Interview Mode:Virtual Interview

Interview Process: Technical & Managerial / HR round

Job Description :
- 8+ 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.
- Robust SQL skills for complex queries, stored procedures, and optimization; familiarity with Python or other scripting languages for automation.
- Expertise in implementing role-based access control, encryption, compliance standards and auditing within Snowflake and cloud environments.
- Ability to optimize compute/storage costs, manage workloads, and tune queries for high performance.
- SnowPro Core or Advanced Architect certification is a strong 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
- 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 standardsRBAC, 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 archit

📌 Snowflake - Developer / Lead /Architect (India)
🏢 SP Staffing
📍 India