Architect, design, and implement end-to-end data solutions using Snowflake.
Lead data modeling, schema design, and performance optimization efforts.
Develop scalable ETL/ELT pipelines using Python/Java/Scala, SQL, and modern data integration tools.
Define and enforce data governance, quality frameworks, and DataOps practices.
Work with cross-functional teams to translate business needs into technical architectures.
Implement real-time streaming pipelines and Change Data Capture (CDC) frameworks.
Oversee Snowflake best practices, security, cost optimization, and workload management.
Collaborate with cloud teams on deployments across Skills & Experience :
10+ years of experience in data architecture, data engineering, or similar roles.
Strong hands-on expertise in Snowflake architecture, features, and advanced capabilities.
Proven experience with DBT, data modeling, and designing scalable schemas.
Deep understanding of cloud data warehousing concepts and Snowflake best practices.
Strong programming skills in Python, Java, or Scala.
Expertise in SQL, ETL pipelines, and data integration techniques.
Familiarity with cloud platforms like AWS, Azure, or GCP.
Experience implementing Data Governance and DataOps frameworks.
Knowledge of real-time streaming tools and CDC Demonstrated ability to deliver large-scale, complex cloud-based data solutions.

(ref:hirist.tech)

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