Sr. Snowflake Data Engineer

We are seeking an experienced Senior Snowflake Data Engineer to design, build, and optimize scalable data solutions within complex enterprise environments. This is a hands-on engineering role focused on developing reliable data pipelines, improving Snowflake performance and cost efficiency, and modernizing existing data-processing workloads.

Role & responsibilities

• Design, develop, and maintain scalable data pipelines and transformation workflows within Snowflake.
• Build and optimize ELT/ETL processes using SQL, Python, Snowpark, dbt, and Snowflake-native capabilities.
• Modernize existing Python- and stored-procedure-based pipelines using set-based processing, incremental loading, and reusable engineering patterns.
• Implement Snowflake-native data-processing solutions using Dynamic Tables, Streams, Tasks, and stored procedures.
• Improve platform performance and cost efficiency through query tuning, warehouse right-sizing, clustering strategies, workload isolation, and auto-suspend and auto-resume policies.
• Develop reliable orchestration, dependency management, monitoring, error handling, retry, and recovery mechanisms.
• Design and maintain dimensional, relational, and domain-oriented data models.
• Implement data-quality checks, observability, testing, lineage, and documentation standards.
• Integrate data from batch and real-time sources using tools such as Fivetran, Kafka, Airflow, or similar technologies.
• Contribute to CI/CD pipelines, infrastructure-as-code practices, and automated deployment processes.
• Work closely with architects and client stakeholders to translate business and technical requirements into production-ready solutions.
• Participate in code reviews, technical design discussions, estimation, and Agile delivery activities.

Required candidate profile

• 7+ years of experience in data engineering, including significant hands-on experience with Snowflake.
• Advanced SQL skills, including complex transformations, query optimization, and stored procedure development.
• Strong Python development experience for data processing, automation, and pipeline development.
• Hands-on experience with Snowpark and Snowflake-native capabilities such as Dynamic Tables, Streams, and Tasks.
• Proven experience designing and supporting scalable ELT/ETL pipelines in production environments.
• Strong understanding of Snowflake performance and cost optimization, including warehouse sizing, query profiling, clustering, and workload management.
• Experience with data modeling, incremental processing, pipeline orchestration, and dependency management.
• Experience with dbt or a comparable data transformation framework.
• Familiarity with at least one major cloud platform: AWS, Azure, or GCP.
• Experience with Git, CI/CD, automated testing, and modern software delivery practices.
• Strong troubleshooting, analytical, and problem-solving skills.
• Effective written and verbal communication skills, including the ability to collaborate directly with technical and business stakeholders.

Preferred Qualifications

• Experience with Fivetran, Kafka, Airflow, or similar ingestion and orchestration tools.
• Familiarity with Terraform or another infrastructure-as-code platform.
• Experience with Snowflake Iceberg Tables or modern lakehouse architectures.
• Exposure to Snowflake Cortex, including Cortex Analyst, Cortex Search, or Cortex LLM functions.
• Experience supporting business continuity and disaster recovery strategies.
• SnowPro Core or SnowPro Advanced certification. (Must)