Lead Data Engineer-Hybrid

Wren Kitchens

Wren Kitchens, a prominent leader in the kitchen and bedroom industry, is seeking a Lead Data Engineer to lead their data management efforts. With a robust infrastructure and in-house applications, Wren continues to grow, and this role supports their dynamic team. The role focuses on owning and managing the company's data lake, involving the transformation processes and data integrations.

In this role you can expect to have the responsibilities:

• Monitor and maintain the performance, security, and availability of the data lake with tools like Datadog.
• Develop and enforce practices for automated testing of ETL pipelines and data workflows.
• Manage and mentor the data engineering team, providing technical guidance and support.
• Act as a technical liaison to internal and external stakeholders, aligning engineering with business objectives.
• Oversee architecture and governance of the data lake, ensuring scalability and compliance.
• Foster innovation and learning, offering guidance on design patterns and cloud technologies.
• Ensure comprehensive documentation of data platforms, pipelines, and processes.
• Collaborate with senior leadership to define data engineering strategy aligned with business goals.
• Make decisions on architectural choices and tool selections based on evaluations.
• Partner with Business Intelligence teams to uphold high-quality data and optimize performance.

This role comes with the following benefits:

This role requires you to have:

• Proactive mindset with a focus on improvement.
• Minimum of 5 years' experience in data platform management.
• Proficiency in monitoring tools like Datadog.
• 5+ years of experience using Python for ETL/ELT processes.
• Strong communication skills for diverse audiences.
• Problem-solving and structured troubleshooting abilities.
• Experience with data lakes and ETL platforms like Snowflake.
• Hands-on experience with cloud platforms (AWS, Azure, GCP).
• Strong attention to detail in data quality and documentation.
• Experience with BI tools such as Tableau and Power BI.

You would benefit from having:

• Experience with Jira for task management.
• Comfortable with Agile frameworks and iterative development.
• Experience as a Scrum Master.
• Familiarity with Databricks features.