Manager, Test Data Engineering Team

🕒 Maio 8

🐊 Florida, Louisiana, +2 estados a mais – Remoto

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

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

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Live Nation Entertainment

SiteLinkedInTodas as Vagas

10.000+ funcionários

Fundada em 1996

📱 Mídia

💰 Post-IPO Debt em 2023-01

Media • Entertainment

A Live Nation Entertainment é a líder global em entretenimento ao vivo, promovendo experiências inesquecíveis ao redor do mundo. Impulsionada por artistas e orientada por fãs, a Live Nation trabalha com músicos para levar sua criatividade aos palcos em todo o globo. Como a principal produtora de shows, vendedora de ingressos e ponte entre marcas e a música, a plataforma da Live Nation lidera o mercado nesses três setores centrais. Sua missão vai além do entretenimento: elevar, inspirar e criar memórias por meio do poder da música ao vivo.

Descrição

• Lead and grow a team of data quality engineers and test data engineers • 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 • 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

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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