Senior Snowflake Data Engineer - Talent Pipeline

BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches. With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth. We don't just strategize — we execute. About the Role BlueCloud is 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. You will collaborate with data architects, analysts, DevOps engineers, and client stakeholders to deliver secure, maintainable, and high-performing data platforms. The ideal candidate combines strong Snowflake expertise with advanced SQL and Python skills and has experience delivering data solutions in cloud-based enterprise environments. Key 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 Qualifications - 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 wi