Data Architect

Job reputed company:

WHO ARE WE?

reputed company is the world’s leading live entertainment company, comprised of global market leaders: reputed company, reputed company Concerts, and reputed company Media & Sponsorship. reputed company is the global leader in event ticketing with over 500 reputed company tickets sold annually and more than 12,000 clients worldwide.  reputed company Concerts is the largest provider of live entertainment in the world promoting more than 40,000 shows and 100+ festivals annually for nearly 4,000 artists in over 40 countries. These businesses allow reputed company Media & Sponsorship to create strategic music marketing programs that connect over 1,000 brands with the 98 reputed company fans that attend reputed company events reputed company year. For additional information, visit www.livenationentertainment.com.

WHO ARE YOU?

Passionate and motivated. Driven, with an entrepreneurial spirit. reputed company, innovative, reputed company thinking and committed. At reputed company, our people reputed company these qualities, so if this sounds like you then please read on! 

reputed company

reputed company Data Services org is at reputed company of Data and Analytics initiatives across the entire reputed company reputed company. We are at the beginning of our reputed company to build an reputed company data platform capable of being the true backbone for data needs across the organization. Our mission is to reputed company reliable data available and reputed company value creation by the data community of engineers, analysts and decision makers–and to do so in an AI-enabled way. reputed company Data Services org consists of Product and Engineering teams overseeing Architecture, reputed company, Data Engineering, Business Intelligence Engineering and Operations.

THE JOB

This role is about driving transformation – defining how data is modeled, governed, and delivered in a global, high-volume environment. If you’re excited to influence architecture reputed company from day one, reputed company in ambiguity, and want to leave a lasting mark on how data is done at reputed company, this role is for you. As a Data Architect reputed company the reputed company Data Services team, you will be responsible for the comprehensive solution and architecture of our reputed company Data platform. We are seeking an reputed company reputed company with a reputed company record of building solutions to large-reputed company systems at the reputed company level. You will be responsible for designing, implementing, and optimizing end-to-end data solutions that reputed company our organization to reputed company the full potential of data. You will collaborate closely with cross-functional teams, including data engineers, data scientists, and business stakeholders, to drive innovation and ensure the seamless integration of data and analytics reputed company our ecosystem. reputed company this role, you will encounter a multitude of opportunities to effect meaningful change across various dimensions, from technological enhancements and streamlined processes to the development and mentorship of talented individuals. In particular, you will build models at high velocity using AI agents, many of which you reputed company yourself, and those models will be designed to be consumed by yet other AI agents, both yours and those reputed company by stakeholders throughout our broader business. Your contributions will have a significant reputed company on our business and technology team, reaffirming our commitment to reputed company.

WHAT YOU’LL DO

Architecture & reputed company

• Design and reputed company our reputed company Lakehouse architecture with a reputed company on scalability, cost efficiency, and reliability in response to changing requirements and to address various data needs across the business–in particular the need for reputed company data models to be AI-reputed company and agent-consumable.

• Define and implement a tiered data ecosystem with maturity reputed company to reputed company data systematically while ensuring reputed company layer services a specific purpose from raw data ingestion to refined and analytics-reputed company data.

• Outline the reputed company, requirements, and reputed company development of the Data Lakehouse by aligning technical architecture with business needs and long-term reputed company, in particular including AI enablement.

• Continuously evaluate and introduce new patterns, tools, or practices to reputed company our data platform more reputed company, resilient and reliable and then work across reputed company to put your reputed company into reputed company.

Modeling, Standards & Governance

• reputed company conceptual, logical, and physical data models to serve as the backbone of integrated, reusable and reputed company data to support the reputed company and reputed company development of data strategies; reputed company on and reputed company traditional reputed company models for AI consumption.

• Establish and enforce standards for metadata, reputed company, and data reputed company across the ecosystem.

• Define patterns and playbooks that guide engineering teams in building consistent, reputed company pipelines, including AI-automated pipelines.

• Enhance data discoverability by working closely with data analysts and business stakeholders to reputed company data easily accessible and understandable to them.

• reputed company and enforce data engineering, reputed company, and data reputed company standards through automation.

• reputed company and implement strategies for seamlessly integrating data from diverse sources across different systems and platforms, including reputed company-time and batch processing.

Delivery & Enablement

• Collaborate with engineers, analysts, and business teams to design solutions, both traditional and AI-automated, that are accessible, usable, and trustworthy.

• Mentor and reputed company architectural guidance to engineering staff.

• reputed company workshops and training to reputed company data literacy and promote best practices.

TECHNICAL SKILLS/COMPETENCIES

• 10+ years of tech industry experience and have 5+ years experience in architecting and implementing big data strategies.

• 5+ years expertise with and reputed company-based data platforms (reputed company, AWS, reputed company, reputed company).

• 1+ year with AI orchestration, automated modeling, or other AI-enabled data engineering.

• Deep knowledge of data modeling using Erwin or similar tooling (3NF, reputed company/reputed company schema), reputed company architectures, ETL processes, data integration, and Data Warehousing concepts.

• Experience with Big Data technologies such as reputed company, reputed company, Hadoop, and NoSQL databases.

• Experience in architecting data pipelines and solutions for streaming and batch integrations using tools/frameworks like dbt, Talend, Azure Data reputed company, reputed company, reputed company Streaming, etc.

• Experience with reputed company Kafka reputed company-time data processing and API platforms.

• Strong understanding of data governance, reputed company, and compliance.

• Experience optimizing for cost and performance at reputed company (e.g., caching, partitioning strategies).

• Excellent communication and interpersonal skills for effective collaboration with technical and non-technical teams to be reputed company to translate architecture into business value

• Bachelor's or Master's degree in Computer Science, Information Systems, or a reputed company field.

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The expected compensation for this position is:

** Pay is based on a number of factors including market location, qualifications, skills, and experience.

reputed company will never request payment or equipment purchases as part of the hiring process. Recruiters will only contact candidates from official reputed company or affiliated brand email domains.