Manager, Test Data Engineering Team

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🕒 July 25

🐊 Florida, Louisiana, +2 more states – Remote

🐊 Florida – Remote ⚜️ Louisiana – Remote 🔔 Pennsylvania – Remote 🤠 Texas – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Live Nation Entertainment

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1996

📱 Media

💰 Post-IPO Debt on 2023-01

Media • Entertainment

Live Nation Entertainment is the global leader in live entertainment, powering unforgettable experiences around the world. Artist-powered and fan-driven, Live Nation works with musicians to bring their creativity to life on stages across the globe. As the top producer of concerts, ticket seller, and brand connector to music, Live Nation's platform leads the market in these three core industries. Their mission extends beyond entertainment, aiming to uplift, inspire, and create memories through the power of live music.

📋 Description

• Design and build reusable data quality frameworks integrated into Databricks pipelines • Develop standardized validation libraries (schema checks, freshness, volume, 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

🎯 Requirements

• 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 with data observability or validation tools (e.g., Great Expectations, Deequ, Soda) • Familiarity with streaming architectures and real-time validation • AI orchestration experience a huge plus; ability to automate test data practices such as synthetic data generation, data profiling, and pipeline regression testing • Solid understanding of anomaly detection and large-scale data validation patterns (e.g., hash/Merkle-based validation), and/or major TDM tools for data profiling and sampling • Comfortable juggling multiple concurrent projects and setting priorities • Experience with JIRA / 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 required, experience with user behavior data will be a leg up • Track record of success 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

• Medical, vision, dental and mental health benefits for you and your family • 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, plus fertility, adoption, foster, or surrogacy support • Career and skill development programs with School of Live, tuition reimbursement, and student loan repayment • Volunteer time off, crowdfunding match