Key Skills: Data architecture, Airflow, Data Engineering, Python, Snowflake, DBT, Architect, SQL, SQL Based data engineering

Roles and Responsibilities:

- Independently design and implement Snowflake databases, schemas, warehouses, RBAC, and workload management.
- Configure and optimize Snowpipe, Streams, Tasks, Materialized Views, clustering, and Time Travel.
- Build robust dimensional and normalized data models, including Medallion (Bronze-Silver-Gold) layers for scalable pipelines.
- Develop and manage end-to-end transformations and automation using dbt and Python, orchestrated with Airflow (or ADF).
- Implement CI/CD workflows and automated deployment practices; integrate Snowflake with enterprise systems and REST/SOAP APIs.

Skills Required:

- 10 - 15 years of relevant experience, including at least 6 years dedicated to Snowflake




- Snowflake architecture, implementation, administration, optimization, and troubleshooting
- Data engineering and data architecture experience, including dimensional/normalized modeling and Medallion layers
- Python and SQL proficiency for automation and data operations
- dbt for transformations and Airflow for orchestration; experience with pipeline reliability, performance, and governance

Positive to Have:

- Experience with SQL-based data engineering practices and advanced SQL development

Education: B.Tech / M.Tech / MCA / M.Sc / BCA or equivalent in Computer Science or related fields

📌 Snowflake Data Architect (Bengaluru)
🏢 Careernet
📍 Bengaluru