Data & Analytics - Data Engineering Lead
1 day ago
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.
- 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.).
- 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.
- 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
- 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.
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