Senior Snowflake Data Engineer/Architect

Key Responsibilities :

- Design and implement robust, scalable Snowflake data solutions.

- Lead enterprise-scale Snowflake implementations, including greenfield projects and migrations.

- Develop and manage data pipelines using DBT, Airflow, and ETL tools like Fivetran or Matillion.

- Optimize Snowflake performance through best practices around architecture, micro-partitioning, resource

management, etc.

- Collaborate with cross-functional teams to define data architecture, governance, and integration strategies.

- Participate in client meetings, ensuring effective communication and stakeholder alignment across project phases.

Technical Requirements

- Minimum 7+ years of experience in Data Engineering / BI platforms.

- 4-5+ years of hands-on experience with Snowflake.

- In-depth understanding of Snowflake architecture (warehouses, RBAC, micro-partitioning, data sharing, etc.

- Strong command of SQL, including advanced concepts like window functions and dynamic SQL.

Experience with :

- DBT (Data Build Tool)

- Apache Airflow

- ETL tools (e.g., Fivetran, Matillion)

- Cloud services, especially AWS

- Scripting languages such as Python or Scala

- Experience with large-scale data system design, implementation, and performance tuning.

- SnowPro Advanced Certification is a plus.

Soft Skills :

- Excellent communication and interpersonal skills.

- Proven ability to lead end-to-end implementation projects (architecture, design, UAT, go-live).

- Comfortable working with international stakeholders, especially US-based clients.

- Self-driven, reliable, and detail-oriented with strong problem-solving skills