Data & Analytics - Data Engineering Lead

Description

We are seeking an accomplished Data Engineering Lead to join our Data & Analytics team in Columbus, OH . In this role, you will establish repeatable frameworks, lead a team of data engineers, and ensure delivery of reliable and scalable pipelines that power enterprise analytics. You'll set standards, implement best practices, and partner with leadership to drive a modern data engineering capability.

Key Responsibilities

• Develop Standard Patterns : Create and maintain best practices for data integration and transformation, recommending alternatives when standard patterns don't fit unique requirements.
• Automation & Metadata : Use APIs, Python, and other automation tools to develop and maintain an inventory and metadata for data pipelines.
• Monitoring & Analytics : Build tools and SOPs for monitoring, alerting, and pipeline analytics to ensure reliability, performance, and visibility.
• Demand Intake & Prioritization : Work with the PMO to establish an intake process for new data engineering requests. Manage and prioritize the backlog, assigning work across the team.
• Leadership & Mentorship : Lead junior data engineers, ensuring work is performed on time and with quality. Conduct pipeline reviews, provide coaching, and mentor team members for professional growth.
• Performance Management : Define and track Service Level Agreements (SLAs) and Key Performance Indicators (KPIs) for data pipelines, reporting regularly against them.

Important Experience & Skills

Pay Transparency Compensation for roles at Avaap varies depending on a wide array of factors including but not limited to the specific business unit, team, role, skillset, and level of experience. As required by law, Avaap provides a reasonable range of compensation for roles that may be hired.

Minimum Qualifications

Featured Avaap Benefits

Presented benefits available to full-time US employees. Speak with your recruiter about offerings outside of the US.