Experienced Lead Data Engineer – Big Data Solutions & Cloud Infrastructure Development | arenaflex Entertainment Technology Group

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About arenaflex Entertainment Technology

Welcome to arenaflex, where innovation meets imagination! As a global leader in entertainment and media, arenaflex creates magical experiences that delight millions of people around the world every day. From streaming platforms to theme parks, from content creation to cutting-edge technology solutions, arenaflex is at the forefront of digital transformation in the entertainment industry.

Within the arenaflex ecosystem, our Information and Investigation division for Digital Streaming Services (DSS), operating under the arenaflex Entertainment and Technology Innovation (DE&ET) segment, is searching for exceptional talent to join our dynamic team. We believe that data is the cornerstone of every decision we make—whether it's designing new products, optimizing pricing strategies, measuring advertising effectiveness, helping customers discover new content, or building new businesses in emerging markets.

This is an exciting opportunity to be part of a team that leverages the power of big data to drive innovation across one of the world's most beloved entertainment brands. If you're passionate about data engineering, love solving complex problems, and want to work with cutting-edge technology in a collaborative environment, then arenaflex is the place for you!

Position Overview: Lead Data Engineer

We're looking for a highly motivated and technically skilled Lead Data Engineer to join our Engagement and Retention Data Engineering team. In this role, you'll be responsible for designing, building, and maintaining scalable data solutions that power critical business insights and drive customer engagement across our digital platforms.

As a Lead Data Engineer at arenaflex, you'll work at the intersection of data architecture, engineering, and analytics. You'll collaborate with cross-functional teams including Data Product Managers, Data Modelers, Data Scientists, and Business Analysts to deliver robust data solutions that support our organization's analytical needs. This is a senior-level position that offers significant leadership opportunities and the chance to make a substantial impact on our data infrastructure.

What You'll Do

As a Lead Data Engineer, you will be responsible for the following key activities:

• Design and Build Data Products: Contribute to the design and construction of our data products and data warehouses focused on Engagement and Retention Analysis and Data Science initiatives.


• Develop Data Solutions: Design and develop scalable data warehousing solutions, building ETL pipelines in big data environments that span cloud, on-premises, and hybrid infrastructures.


• Technology Implementation: Work with our tech stack including Hadoop, AWS, Snowflake, Spark, and Airflow, utilizing programming languages such as Python and Scala.


• Data Architecture: Help engineer data solutions and structures while defining data models for critical data warehouses and data marts.


• Cross-functional Collaboration: Partner with Data Product Managers, Data Modelers, and Data Engineers to design, implement, and deliver successful data solutions that meet business requirements.


• Documentation: Maintain detailed documentation of your work and changes to support data quality and data governance initiatives.


• Performance Optimization: Ensure high operational efficiency and quality of your solutions to meet service level agreements (SLAs) and maintain commitment to our internal clients, including Data Science and Data Analysis teams.


• Agile Practices: Be an active member and advocate for agile/scrum practices to ensure health and process improvements for your team.


• Mentorship: Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.


• Innovation: Identify opportunities to improve existing data pipelines and propose innovative solutions to enhance our data infrastructure.

Required Qualifications & Skills

To be successful in this role, you'll need the following qualifications and skills:

• Educational Background: Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field. Equivalent professional experience will also be considered.


• SQL Expertise: Strong SQL skills with the ability to write complex queries to extract data and build performant datasets for analytics and reporting.


• Distributed Systems Experience: Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process large-scale data efficiently.


• Programming Proficiency: Strong programming skills in Python, Java, or Scala for data processing and pipeline development.


• Database Technology: Experience with at least one major MPP or cloud database technology such as Snowflake, Redshift, or BigQuery.


• Data Integration Tools: Strong experience with data integration toolsets (such as Airflow) and writing and maintaining data pipelines.


• Data Modeling: Strong expertise in data modeling techniques and data warehousing standard methodologies and practices.


• Agile Methodology: Familiarity with Scrum and Agile approaches, with experience participating in sprint-based development cycles.


• Problem-Solving: Excellent problem-solving abilities with strong attention to detail and exceptional analytical and communication skills.


• Team Player: Ability to work effectively in a collaborative team environment and communicate complex technical concepts to non-technical stakeholders.

Preferred Qualifications

While not required, the following qualifications would be considered a significant advantage:

• Cloud Technologies: Hands-on experience with cloud technologies such as AWS (S3, EMR, EC2), Azure, or Google Cloud Platform.


• Big Data Certification: Relevant certifications in big data technologies or cloud platforms.


• Media Industry Experience: Understanding of the media and entertainment industry, particularly streaming services or digital content platforms.


• Advanced Analytics: Experience supporting data science and machine learning initiatives.


• Real-time Processing: Knowledge of real-time data streaming technologies such as Kafka or Flink.


• Advanced Degrees: Master's degree or higher in a related technical field.


• Performance Tuning: Strong background in query optimization and performance tuning for large-scale data systems.

Why Join arenaflex?

At arenaflex, we believe in creating an inclusive, innovative, and collaborative work environment where every employee can thrive. Here are just a few reasons why you should consider joining our team:

Competitive Compensation

We offer a competitive hourly rate of $24 per hour (commensurate with experience) along with a comprehensive benefits package that includes health insurance, retirement plans, paid time off, and employee discounts across arenaflex properties.

Career Growth Opportunities

arenaflex is committed to helping our employees grow and develop their careers. As a Lead Data Engineer, you'll have access to professional development programs, mentorship opportunities, and clear career advancement pathways within our organization. Whether you want to specialize in a particular technology or move into management, arenaflex supports your career aspirations.

Cutting-Edge Technology

Work with the latest big data technologies and cloud platforms. Our data infrastructure handles petabytes of data, providing you with hands-on experience with enterprise-scale systems that power some of the world's most popular streaming and entertainment platforms.

Work-Life Balance

We value work-life balance and offer flexible work arrangements, including hybrid and remote options. Our San Francisco office features state-of-the-art facilities designed to support productivity and well-being.

Inclusive Culture

Join a diverse team of talented individuals who are passionate about data and entertainment. We foster an inclusive environment where different perspectives are celebrated, and creativity thrives.

Learning and Development

Continuous learning is at the heart of what we do. You'll have access to training programs, conferences, and certifications to stay current with emerging technologies and best practices in data engineering.

Work Environment

Our data engineering team operates in a fast-paced, collaborative environment that values innovation and excellence. We embrace agile methodologies and believe in delivering value to our stakeholders through iterative development and continuous improvement.

You'll be working in our modern San Francisco office, equipped with the tools and resources you need to succeed. We maintain a hybrid work model that allows for flexibility while ensuring meaningful in-person collaboration when needed.

How to Apply

If you're ready to take the next step in your data engineering career and join a team that's transforming the entertainment industry through data innovation, we encourage you to apply today!

To apply, please click the Apply button below and submit your resume, cover letter, and any relevant portfolio or project examples. Our recruiting team will review your application and reach out if your qualifications match our requirements.

arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and experiences.

Note: This position is a full-time role with standard work hours of 8 hours per day. Relocation assistance may be available for qualified candidates.

We can't wait to see what you'll bring to our team!