Snowflake Architect - ETL/Python

8 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

We are looking for a highly skilled and experienced Snowflake Architect to lead the design, development, and deployment of enterprise-grade cloud data solutions.The ideal candidate will have a strong background in data architecture, cloud data platforms, and Snowflake implementation, with hands-on experience in end-to-end data pipeline and data warehouse design.This role requires strategic thinking, technical leadership, and the ability to work collaboratively across cross-functional Responsibilities :
  • Lead the architecture, design, and implementation of scalable Snowflake-based data warehousing solutions.
  • Define data modeling standards, best practices, and governance frameworks.
  • Design and optimize ETL/ELT pipelines using tools like Snowpipe, Azure Data Factory, Informatica, or DBT.
  • Collaborate with stakeholders to understand data requirements and translate them into robust architectural solutions.
  • Implement data security, privacy, and role-based access controls within Snowflake.
  • Guide development teams on performance tuning, query optimization, and cost management in Snowflake.
  • Ensure high availability, fault tolerance, and compliance across data platforms.
  • Mentor developers and junior architects on Snowflake capabilities and Skills & Experience :
  • 8+ years of overall experience in data engineering, BI, or data architecture, with at least 3+ years of hands-on Snowflake experience.
  • Expertise in Snowflake architecture, data sharing, virtual warehouses, clustering, and performance optimization.
  • Strong experience with SQL, Python, and cloud data services (e.g., AWS, Azure, or GCP).
  • Hands-on experience with ETL/ELT tools like ADF, Informatica, Talend, DBT, or Matillion.
  • Good understanding of data lakes, data mesh, and modern data stack principles.
  • Experience with CI/CD for data pipelines, DevOps, and data quality frameworks.
  • Solid knowledge of data governance, metadata management, and cataloging to Have :
  • Snowflake certification (e.g., SnowPro Core/Advanced Architect).
  • Familiarity with Apache Airflow, Kafka, or event-driven data ingestion.
  • Knowledge of data visualization tools such as Power BI, Tableau, or Looker.
  • Experience in healthcare, BFSI, or retail domain projects
(ref:hirist.tech)

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