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