Lead Data Engineer

Summary

Join Dynatron Software as a Snowflake data engineering expert and play a critical role in the success of our SaaS and DaaS product portfolio. Ensure the reliability of our data pipelines, data warehouse, and data quality to support the company's data-driven strategic vision. You will provide technical leadership and mentorship to a team of data engineers, fostering a collaborative and innovative environment. This role demands both leadership and hands-on experience, requiring you to evaluate, recommend, and implement best practices. You will collaborate with cross-functional teams to meet evolving business needs and lead by example, demonstrating a commitment to excellence and professionalism. The ideal candidate will possess extensive experience with Snowflake, AWS, Python, and various data pipeline and warehouse technologies.

Requirements

• 5+ years of Expert Level Snowflake design and implementation experience
• 5+ years of experience designing and implementing other data warehouse technologies such as Databricks and Redshift
• 5+ years of AWS experience, including S3 and managed database services (Aurora, DynamoDB, RDS)
• 5+ years of experience with hands-on Python development
• 10 years experience working with relational databases such as MySQL or other SQL based relational databases
• 10 years experience with CI/CD pipelines and version control systems (e.g., Bitbucket) for managing codebase and deployments

Responsibilities

• Provide technical leadership and mentorship to a team of data engineers, fostering a culture of collaboration, innovation, and continuous learning
• An ability to challenge the current architecture based on your prior experience and justify your recommendations.  Don’t just accept the status quo
• Desire to become an “expert” on all aspects of Dynatron data
• Extensive experience designing, implementing and automating best-of-breed data pipelines using platforms such as Snowflake, AWS, Python, Airbyte/Fivetran, Airflow, and Stored Procedures
• Extensive experience designing, modeling and implementing data warehouses on the Snowflake platform. You MUST have expert experience in Snowflake
• Extensive experience with approaches to ensure data quality throughout the data pipelines and in the data warehouse and addressing data quality issues with the current architecture
• Collaborate closely with cross-functional teams, including product owners, software engineers, data scientists and business stakeholders, to understand data requirements and deliver solutions that meet evolving business needs
• Lead by example, demonstrating a commitment to excellence, integrity, and professionalism in all aspects of your work

Benefits

• Excellent benefits including health, dental, vision, and short term disability insurance
• Stock options
• Work from home and flexible scheduling depending on job requirements
• Professional development opportunities
• 11 paid holidays
• 15 days PTO
• Home office setup support for remote employees