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Live Nation Entertainment

Manager, Test Data Engineering Team

Live Nation Entertainment

. Lead and evolve a team of primarily QA-background engineers into a high-performing, engineering-driven function .

Posted 10/30/2026full-timeRemote • United StatesMid-LevelSenior💰 $128,000 - $160,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and enforcing data quality frameworks, automated validation processes, and scalable solutions for data integrity. Proven ability to lead cross-functional teams and manage multiple roadmaps while driving adoption of best practices in data engineering.

Highest-signal resume keywords
Data EngineeringTechnical LeadershipDatabricksAutomated Validation FrameworksData Quality Standards

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonSQLSparkData Quality FrameworksAnomaly DetectionSynthetic Data GenerationData ProfilingRegression TestingData ObservabilityStreaming Architectures
Soft Skills
Analytical SkillsCollaborationExecution MindsetCross-Functional TeamworkStakeholder Management
Tools & Technologies
DatabricksGreat ExpectationsDeequSodaJIRA
Industry Keywords
Data QualityTest Data EngineeringAgile MethodologiesData ValidationBI Validation Applications

Tech Stack

Tools & technologies
PythonSparkSQL

About the role

Key responsibilities & impact
  • Lead and evolve a team of primarily QA-background engineers into a high-performing, engineering-driven function
  • Design and build reusable data quality frameworks integrated into Databricks pipelines
  • Develop standardized validation libraries for schema checks, freshness, volume, and anomaly detection
  • Define and enforce data quality standards and “Definition of Done” across pipelines
  • Build scalable solutions for synthetic data generation and masking
  • Develop replay frameworks for validating pipeline changes against production scenarios
  • Create automated regression testing harnesses for batch and streaming pipelines
  • Establish monitoring, alerting, and SLA/SLO frameworks for data pipelines
  • Build tools to measure and track data quality, pipeline health, and reliability metrics
  • Enable proactive detection of data issues in production environments
  • Lead and grow a team of data quality engineers and test data engineers
  • Partner with Data Engineering, Product, and Analytics teams to embed quality practices
  • Drive adoption of frameworks and standards across global engineering pods
  • Define and execute a long-term roadmap for enterprise data quality
  • Prioritize initiatives across multiple stakeholders and global teams
  • Eliminate manual validation processes through automation and engineering best practices
  • Partner with internal stakeholders to define data validation requirements and establish reusable testing frameworks across the organization
  • Manage multiple roadmaps and shared-service backlogs supporting diverse engineering teams
  • Collaborate across North America, Europe, and Asia with globally distributed teams

Requirements

What you’ll need
  • 5+ years in Data Engineering, Test Data Engineering, or related fields
  • 2+ years in a technical leadership or management role
  • Strong experience with Databricks, Spark, distributed data systems, Python and SQL
  • Experience building automated validation or data quality frameworks
  • Hands-on experience with data observability or validation tools such as Great Expectations, Deequ, or Soda
  • Familiarity with streaming architectures and real-time validation
  • AI orchestration experience is a huge plus
  • Ability to automate synthetic data generation, data profiling, and pipeline regression testing
  • Understanding of anomaly detection and large-scale data validation patterns, such as hash/Merkle-based validation
  • Experience with major TDM tools for data profiling and sampling
  • Experience with JIRA and agile user story and acceptance criteria writing
  • Willingness to work with cross-functional teams across time zones and odd hours as necessary
  • Excellent analytical skills
  • Experience with user behavior data is a plus
  • Track record of successfully launching test data solutions or BI validation applications
  • Versatile, hands-on mindset with a bias for execution
  • Passion for live music and events is a plus

Benefits

Comp & perks
  • Medical, vision, dental and mental health benefits for you and your family
  • Health care concierge
  • Flexible Spending Accounts (FSA) or Health Savings Accounts (HSA)
  • Free concert tickets
  • Generous paid time off, including paid holidays, sick time, and personal days
  • 401(k) program with company match
  • Stock reimbursement program
  • New parent programs including caregiver leave and baby bonuses
  • Fertility, adoption, foster, or surrogacy support
  • Career and skill development programs with School of Live
  • Tuition reimbursement
  • Student loan repayment
  • Volunteer time off
  • Crowdfunding match
  • Reasonable accommodations for qualified individuals with disabilities
  • Reasonable religious accommodations