Principal Integrations Architect

Job Description

Live Nation Entertainment is the world's leading live entertainment and eCommerce company, comprised of four market leaders: Ticketmaster.com, Live Nation Concerts, Front Line Management Group and Live Nation Network. Ticketmaster.com is the global event ticketing leader and one of the world's top five eCommerce sites, with over 26 million monthly unique visitors. Live Nation Concerts produces over 20,000 shows annually for more than 2,000 artists globally. Front Line is the world's top artist management company, representing over 250 artists. These businesses power Live Nation Network, the leading provider of entertainment marketing solutions, enabling over 800 advertisers to tap into the 200 million consumers Live Nation delivers annually through its live event and digital platforms. For additional information, visit www.livenation.com/investors.

Who are you?

Sr Architect, Data Integration in Core Data Services (CDS) team will focus on enabling other data engineering teams as they integrate use of Data Lake and new big data technologies into their implementation, dealing with their specific use cases and building applications and services. This opportunity is rare and exciting as we are re-thinking data for the whole enterprise and building a robust modern data platform to unleash power of data and create the base for our engineering and business community to build and monetize analytical products.

We are looking for a seasoned professional who has experience architecting and building large scale systems at enterprise level, leading the change management and overall transformation in the use and management of the data.

This is a rare and unique opportunity to have an enterprise-wide impact while leading the data transformation of the business and positioning it for using data and analytics as a competitive advantage.

THE TEAM

Core Data Services team is at the center of Data and Analytics initiative. We are in the beginning of our journey to build and enterprise data platform capable to be a true underpinning of any data needs for the enterprise. Our mission is to make reliable data available and enable value creation by the data community of engineers, analysts and decision makers. Core Data Services team consists of Platform engineering team, Data Engineering, Data Enablement and Operations team.

Core Data Services is currently in process of adopting Spark as our main ETL engine and realizing the value of highly functional, performant and transparent Data Lake, all this while maintaining and streamlining existing data infrastructure and doing careful migration. Team's focus is on maximizing the functionality, value and content, optimizing cost of ownership and usability of delivered data services.

We see our success in creating a community of data engineers and analysts across the company who can utilize our platform, the Data Lake and data assets within it and to live to the expectation of our ambitious name: Core Data Services.

THE ROLE

This is a unique opportunity for a seasoned data engineering professional who enjoys advanced architecture, sharing ideas, mentoring technical talent and building value for a company that is on a brink of unlocking huge potential of its data and creating new value for the live entertainment space – lifting up the world in these interesting times.

Exciting, challenging and rewarding – this Sr Architect position empowers and challenges at the same time, providing an ability to influence processes and technology behind big technical and cultural transformation at Live Nation Entertainment

WHAT THIS ROLE WILL DO
• As an authoritative representative of the Core Data Services and a technical voice of the Data Enablement team, Sr Architect will work with other technical teams, evangelize new architecture patterns, propose practical and long lasting, robust integrated systems to maximize the use of core data services across the company
• Setup best practices in areas of data integration, minimize data movement and duplication across the enterprise and make it a mission to greatly simplify and streamline existing and future processes related to data and analytics
• Partner with platform engineering and operations teams to implement new requirements and system enhancements are required, advocating on behalf of the engineering community of the company
• Establish trusted relationships with data engineers and architects, provide enterprise level of understanding dependencies between systems and implementation. Support prioritization of projects by enabling client engineering teams to work independently, but in concert with other teams. Deep understanding of agile methodologies is required
• Gather, analyze and communicate requirements for the platform functionality based on team's experience implementing advanced ETL processes. Actively work with product managers and technical user community to develop platform roadmap in concert with product backlogs.
• Actively engage and lead efforts of modernizing legacy systems, streamlining traditional ETL processes and documenting all systems and processes. Work with operations team to ensure that maintenance responsibilities are not part of data engineering day to day, including delivering easy to maintain, self-healing, scalable data pipelines
• Actively lead in building a data driven culture, contributing to the data community and represent the data enablement team in efforts related to making data easily accessible, ready in time, discoverable, usable and easy to understand
• Partner with data engineering team's across organization, engage and lead without authority toward continuous improvement, fast adoption of new platform functionality and effective use of data assets for both operational and analytical use cases

WHAT THIS PERSON WILL BRING (TECHNICAL SKILLS/COMPETENCIES)
• Practical and hands-on experience in the area of large-scale data engineering, architecture and management, systems and data integration and automation
• Advanced level of understanding modern big data technologies and demands size and latency requirements put on data engineering
• Hands on experience with advanced data modelling, engineering for scalability, data streaming, self-healing and scalable process design, data partitioning, distributed data processing, metadata management. Advanced programming skills in Python, PySpark API, Kafka streaming API, advanced Spark SQL
• Experience with technical stack which includes
• Data Lake technologies like S3, AWS Data Lake, Databricks Delta lake;
• Data warehousing tech like Snowflake, Teradata, Oracle EDW;
• Deep understanding of operationalizing ETL processes using Spark and modern streaming ETL technologies like Spark Streaming, StreamSets, Kafka Connect as well as traditional ETL tools like Informatica, SAP Data Services, Talend and modern orchestration technologies like Airflow. Experience with Enterprise MFT applications/tools and Databricks is a plus.
• Advanced Python, Spark, SQL
• Ability to work in a demanding fast paced environment and lead without authority
• Strong desire to succeed and can-do attitude

BENEFITS & PERKS - Our motto is 'Taking Care of Our Own' through 6 pillars of benefits:
• HEALTH: Medical, Dental and Vision benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs)
• YOURSELF: Paid time off policy including holidays, sic

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Jobcode: Reference SBJ-r0y8jj-18-119-131-72-42 in your application.