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Avaap · 2 weeks ago

Data & Analytics - Data Engineering Lead

Columbus, OH

Full-time

Hybrid

Senior Level

$130K/yr - $165K/yr

Avaap is seeking a Data Engineering Lead to join their Data & Analytics team. In this role, you will establish frameworks, lead a team of data engineers, and ensure the delivery of reliable and scalable data pipelines for enterprise analytics.

Information Technology & Services

No H1B

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

Qualification

SQLPythonData Engineering ArchitectureDevOpsCI/CDAirflowSnowflakeDatabricksCustomer ServiceLeadershipMentorshipCommunication Skills

Required

Proven experience managing and mentoring junior data engineering resources and leading teams

Highly skilled with SQL and Python, with deep knowledge of modern data engineering architecture and best practices

Experience with DevOps, CI/CD, and enterprise-grade frameworks for scalable and sustainable data delivery

Skilled at working with senior leaders to design and implement repeatable frameworks that deliver enterprise data at scale

Hands-on experience with enterprise data engineering and automation tools to build and operationalize pipelines (e.g., Airflow, dbt, Snowflake, Databricks, etc.)

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