We are seeking an experienced Data Platform Engineer responsible for designing, constructing, and maintaining our suite of data platforms. This includes cloud-based data warehouses, business intelligence tools, and data science applications. A successful candidate ensures the platforms' optimal performance, scalability, reliability, and security, providing guidance and support to our team of data engineers, scientists, and analysts.

Responsibilities:

• Design, implement and manage efficient data platforms conforming to industry standards and best practices.
• Develop and automate data workflows and pipelines across various data sources and platforms.
• Troubleshoot and correct data platform issues, including performance, security vulnerabilities, and data quality problems.
• Constantly monitor and optimize platform performance, availability, and capacity using relevant tools and metrics.
• Assess new technologies and trends in the data platform industry, providing recommendations for improvements and innovation.
• Collaborate closely with other data platform engineers, data analysts, data scientists, and business stakeholders to understand and meet their data platform needs.

• Minimum 5 years of experience in data platform engineering or a similar role, preferably in a cloud-based environment.
• Proficiency in Python, SQL, and other programming languages along with experience using cloud data warehouses like Snowflake.
• Skilled in deploying and managing CI/CD pipelines, optimizing collaboration using platforms such as Azure DevOps.
• Familiarity with business intelligence tools, data science tools, and data intelligence tools.
• Understanding of data platform architectures, design principles and best practices, and data platform security compliance and governance standards.
• Excellent communication, collaboration, and problem-solving skills.

Desirable Qualities:

• Knowledge of regulations including GDPR, CCPA, and HIPAA.
• Experience managing code and application releases through technologies similar to Octopus Deploy.