Data & Analytics - Data Engineering Lead

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

• Leadership & Mentorship: Proven experience managing and mentoring junior data engineering resources and leading teams.
• Technical Expertise: Highly skilled with SQL and Python, with deep knowledge of modern data engineering architecture and best practices.
• Modern Practices: Experience with DevOps, CI/CD, and enterprise-grade frameworks for scalable and sustainable data delivery.
• Strategic Influence: Skilled at working with senior leaders to design and implement repeatable frameworks that deliver enterprise data at scale.
• Tools & Platforms: Hands-on experience with enterprise data engineering and automation tools to build and operationalize pipelines (e.g., Airflow, dbt, Snowflake, Databricks, etc.).
  
  

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.

• Base Salary Range is $130,000 to $165,000 plus 20% variable compensation is available for this specific role. At Avaap it is not typical to be hired at the top of the base salary range.
• During the interview process, alignment to level will be determined and should level differ from position applied for, a new compensation range will be provided for the appropriate role.
  
  

Minimum Qualifications

• Must have excellent verbal and written communication skills along with the ability to communicate effectively
• Must be able to perform work indoors and remain stationary at a computer
• Ability to work in a fast-paced and deadline-oriented environment
• Passion for exceptional customer service and collaboration
• Ability to work remotely or out of one of Avaap’s physical office locations
• Current permanent U.S. work authorization required
  
  

Featured Avaap Benefits

• Open PTO
• Competitive vision, dental, and medical, including fertility coverage
• Confidential Teladoc Mental Health therapy services
• Paid parental leave
• 401(k) match
• Company-paid disability and life benefits
• Employee Assistance Program, including behavioral health services
• Tech and Fitness stipends
  
  

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