Job Description

Kforce has a client seeking a Senior Snowflake Data Engineer in Fort Lauderdale, FL. Duties:

• Design, develop, and maintain scalable, high-performance data pipelines and ETL/ELT workflows using Snowflake and modern data engineering best practices
• Architect and optimize Snowflake data models, including schema design, data clustering, performance tuning, and cost optimization
• Collaborate closely with data analysts, data scientists, product teams, and business stakeholders to convert clear requirements into robust data engineering solutions
• Troubleshoot and resolve issues related to data accuracy, performance, and pipeline reliability
• Contribute to architectural decisions, development standards, and overall platform strategy
• Work independently on complex tasks while also contributing to a collaborative, team-oriented environment
• 7+ years of professional experience in Data Engineering or related fields
• 5+ years of hands-on experience with Snowflake, including Snowflake SQL, Snowflake Tasks, Streams, Warehouses, RBAC, Clustering, and Performance Optimization
• Strong expertise in SQL, modern ETL/ELT frameworks, and data pipeline development
• Experience in building and maintaining enterprise Data Lakes and/or Data Warehouses
• Experience with cloud platforms such as Azure or AWS
• Proficiency in Python for data engineering
• Familiarity with orchestration tools such as Azure Data Factory and/or Airflow
• Solid understanding of data modeling, data warehousing principles, and distributed data systems
• Proven ability to work independently, owning end-to-end solutions from requirement to deployment
• Excellent communication and teamwork skills, with the ability to work across technical and business teams
• Strong problem-solving abilities and critical thinking
• Ability to translate ambiguous or evolving requirements into structured technical solutions
• Collaborative mindset with the ability to mentor junior engineers
• Strong sense of ownership, accountability, and quality

• SnowPro certification(s) a plus
• Experience with CI/CD pipelines for data engineering workloads
• Knowledge of Delta Lake, Databricks, Spark, or other big data processing frameworks
• Background in enterprise data platforms with high volumes and strict SLAs
• Experience implementing data governance, metadata management, and quality frameworks

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