Sr. Lead, Cloud Engineer, Data Platforms (Snowflake)

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Overview

The Sr. Lead, Cloud Engineer, Data Platforms (Snowflake) at Genzeon will play a pivotal role in designing, implementing, and optimizing cloud-based data solutions utilizing Snowflake. This position requires a seasoned cloud engineering professional who is adept in leveraging cloud technologies to build scalable data platforms, ensuring efficient data management and analytics. The incumbent will lead cross-functional teams, coordinate with stakeholders, and drive initiatives to enhance data architecture and processing capabilities, all while ensuring adherence to best practices and security standards in cloud engineering.

Job Responsibilities

• Design and implement Snowflake-based cloud data solutions to support enterprise data initiatives.
• Lead cross-functional teams in the development and execution of data engineering projects.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
• Optimize data ingestion, storage, and processing workflows within the Snowflake environment.
• Ensure the security, performance, and reliability of cloud data platforms.
• Conduct performance tuning and troubleshooting of existing data platforms.
• Provide technical guidance and mentorship to junior team members.
• Stay current with industry trends and best practices in cloud data engineering.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field; Master's degree preferred.
• 5+ years of experience in cloud engineering, with a focus on data platforms.
• Proven expertise in Snowflake, including data modeling and optimization techniques.
• Strong proficiency in SQL and familiarity with ETL processes and tools.
• Experience with cloud service providers such as AWS, Azure, or Google Cloud Platform.
• Knowledge of data governance, security best practices, and compliance standards.
• Excellent problem-solving skills, with the ability to work independently and collaboratively.

Technologies & Tools

This position will primarily utilize Snowflake as the cloud data platform, alongside other technologies such as SQL for data querying and manipulation. Familiarity with cloud computing environments (AWS, Azure, GCP) and tools for data integration, ETL processes, and data visualization will also be essential. Additional exposure to programming languages like Python or Java will be beneficial for developing data pipelines and automated workflows.

Ideal Candidates

The ideal candidate for this role will possess a blend of technical expertise, leadership abilities, and strong communication skills. They should demonstrate a passion for data engineering and a commitment to delivering high-quality cloud solutions. A successful candidate will be proactive in identifying opportunities for improvement, comfortable working in fast-paced environments, and exhibit a collaborative mindset to work effectively with diverse teams and stakeholders across various departments.