Snowflake - Senior Technical Lead

About Sopra Steria
Sopra Steria, a major Tech player in Europe with 50,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2024, the Group generated revenues of €5.8 billion.
The world is how we shape it.

Position: Snowflake - Senior Technical Lead
Experience: 8-11 years
Location: Noida/ Bangalore
Education: B.E./ B.Tech./ MCA

Primary Skills: Snowflake, Snowpipe, SQL, Data Modelling, DV 2.0, Data Quality, AWS, Snowflake Security

Good to have Skills: Snowpark, Data Build Tool, Finance Domain  

Preferred Skills

1. Experience with Snowflake-specific features: Snowpipe, Streams & Tasks, Secure Data Sharing.
2. Experience in data warehousing, with at least 2 years focused on Snowflake.
3. Hands-on expertise in SQL, Snowflake scripting (JavaScript UDFs), and Snowflake administration.
4. Proven experience with ETL/ELT tools (e.g., dbt, Informatica, Talend, Matillion) and orchestration frameworks.
5. Deep knowledge of data modeling techniques (star schema, data vault) and performance tuning.
6. Familiarity with data security, compliance requirements, and governance best practices.
7. Experience in Python, Scala, or Java for Snowpark development.
8. Strong understanding of cloud platforms (AWS, Azure, or GCP) and related services (S3, ADLS, IAM)

Key Responsibilities

1. Define data partitioning, clustering, and micro-partition strategies to optimize performance and cost.
2. Lead the implementation of ETL/ELT processes using Snowflake features (Streams, Tasks, Snowpipe).
3. Automate schema migrations, deployments, and pipeline orchestration (e.g., with dbt, Airflow, or Matillion).
4. Monitor query performance and resource utilization; tune warehouses, caching, and clustering.
5. Implement workload isolation (multi-cluster warehouses, resource monitors) for concurrent workloads.
6. Define and enforce role-based access control (RBAC), masking policies, and object tagging.
7. Ensure data encryption, compliance (e.g., GDPR, HIPAA), and audit logging are correctly configured.
8. Establish best practices for dimensional modeling, data vault architecture, and data quality.
9. Create and maintain data dictionaries, lineage documentation, and governance standards.
10. Partner with business analysts and data scientists to understand requirements and deliver analytics-ready datasets.
11. Stay current with Snowflake feature releases (e.g., Snowpark, Native Apps) and propose adoption strategies.
12. Contribute to the long-term data platform roadmap and cloud cost-optimization initiatives.

BTech/MCA

At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.

All of our positions are open to people with disabilities.