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Job Description
Job Title:
Snowflake Architect Job Code:
173634
Location:
Louisville, Kentucky, USA (Onsite Only) Full time only Please apply on;y and USC Job Summary We are seeking an experienced Snowflake Architect to lead the design, development, and optimization of enterprise-scale cloud data platforms. The ideal candidate will have deep expertise in Snowflake architecture, data warehousing, data modeling, ETL/ELT processes, and cloud-based analytics solutions. Experience with Databricks is highly preferred to support advanced data engineering and big data workloads. Key Responsibilities Design and implement scalable, secure, and high-performance data solutions using Snowflake. Architect end-to-end data warehousing and analytics platforms. Lead Snowflake migrations from legacy databases and data warehouses. Develop and optimize ELT/ETL pipelines using Snowflake-native capabilities and modern data integration tools. Design dimensional and normalized data models to support reporting, analytics, and business intelligence requirements. Integrate Snowflake with cloud platforms such as AWS, Azure, or Google Cloud Platform. Collaborate with business stakeholders, data engineers, analysts, and architects to define data strategies and roadmaps. Implement data governance, security, access controls, and performance optimization best practices. Work with Databricks for large-scale data processing, data engineering, and advanced analytics workloads. Mentor development teams and provide architectural guidance on Snowflake and Databricks implementations. Required Skills 8+ years of experience in Data Warehousing, Data Engineering, or Data Architecture. 4+ years of hands-on Snowflake Architecture and Administration experience. Strong expertise in Snowflake features including: Snowpipe Streams & Tasks Time Travel Zero Copy Cloning Secure Data Sharing Performance Tuning & Query Optimization Strong SQL and data modeling expertise. Experience building and optimizing ETL/ELT pipelines. Experience with cloud platforms (AWS, Azure, or Google Cloud Platform). Knowledge of data integration tools such as Informatica, Matillion, DBT, Airflow, Talend, or similar. Strong understanding of Data Lake, Data Warehouse, and Modern Data Platform architectures. Preferred Skills Hands-on experience with Databricks, Spark, and Delta Lake. Experience with Python, Scala, or Java. Experience implementing Lakehouse Architecture. Exposure to real-time and streaming data solutions. Knowledge of CI/CD, DevOps, and Infrastructure as Code (Terraform). Qualifications Bachelor''s or Master''s degree in Computer Science, Information Technology, Engineering, or related field. Snowflake Certifications preferred. Databricks Certifications are a plus. Must-Have Keywords Snowflake Architect, Snowflake, Databricks, Spark, Data Warehouse, Data Modeling, ETL, ELT, SQL, AWS, Azure, Google Cloud Platform, Snowpipe, Streams, Tasks, Performance Tuning, Data Lake, Lakehouse, Delta Lake, Python, Airflow, DBT, Informatica, Matillion.
