Sr. Snowflake Data Engineer

Job Title : Sr. Snowflake Data Engineer Location : Dallas, TX (Locals Only) Duration : 1 Year This role is for an expert Snowflake Data Engineer with 12+ years in software and data engineering, including 3-5 years focused on building and optimizing data microservices and delivering end-to-end solutions. You will design, implement, and deploy scalable Snowflake architectures, collaborating with business and technology teams to ensure efficient, high-quality data delivery from start to finish. Job Requirements: • Design, develop, and optimize complex data pipelines and ETL processes using Snowflake and complementary cloud technologies. • Architect and implement scalable data warehouse solutions to support business requirements and analytics needs. • Lead data migration and modernization projects from legacy platforms to Snowflake. • Develop and enforce best practices for Snowflake architecture, security, performance tuning, and cost optimization. • Mentor and guide junior and mid-level engineers, fostering a culture of technical excellence and continuous learning. • Collaborate closely with data scientists, analysts, and business stakeholders to understand requirements and deliver robust solutions. • Develop and maintain documentation, data models, and data dictionaries for Snowflake environments. • Monitor, troubleshoot, and resolve issues related to data integrity, performance, and reliability. • Evaluate and integrate new data tools and technologies to enhance the data engineering ecosystem. • Ensure compliance with company policies and industry standards regarding data security and governance. Required Qualifications: • Bachelor’s or master’s degree in computer science, Engineering, Information Systems, or a related field. • 12+ years of experience in data engineering or a related field, with demonstrable expertise in building and maintaining large-scale data systems. • 3+ years of hands-on experience with Snowflake, including data modeling, performance tuning, and advanced SQL. • Strong experience with ETL/ELT tools (e.g., Informatica, Talend, dbt, Apache Airflow) and data integration techniques. • Proficiency in programming languages such as Python, Scala, or Java for data processing. • Deep understanding of cloud data platforms (AWS, Azure, or GCP) and their integration with Snowflake. • Proven track record of leading complex data migration and modernization projects. • Excellent analytical, problem-solving, and communication skills. • Experience with data security best practices, access controls, and compliance requirements. • Familiarity with CI/CD pipelines and DevOps practices in the context of data engineering. Preferred Skills: • Snowflake certification(s) strongly preferred. • Experience with real-time data processing frameworks (e.g., Kafka, Spark Streaming). • Knowledge of BI/reporting tools (e.g., Tableau, Power BI, Looker). • Exposure to machine learning workflows and data science collaboration.