// Open Role at Take-Two Interactive
Join Take-Two Interactive as a Senior Data Engineer to architect and implement highly scalable data systems, ensuring data quality and reliability for global marketing initiatives. Leverage your expertise in distributed computing and lead best practices in data infrastructure.
Who We Are:
Headquartered in New York City, Take-Two Interactive Software, Inc. is a leading developer, publisher, and marketer of interactive entertainment for consumers around the globe. We develop and publish products principally through Rockstar Games, 2K, and Zynga. Our strategy is to create hit entertainment experiences, delivered on every platform relevant to our audience through a variety of sound business models. Our pillars - creativity, innovation, and efficiency - guide us as we strive to create the highest quality, most captivating experiences for our consumers. The Company’s common stock is publicly traded on NASDAQ under the symbol TTWO. For more corporate and product information please visit our website at http://www.take2games.com.
The Challenge
The challenge involves leading the design, architecture, and implementation of complex, highly scalable, and reliable end-to-end data systems. This role requires deep expertise in distributed computing and driving the adoption of best practices to ensure data infrastructure operates without manual intervention.
What You’ll Take On
Lead the architectural design and implementation of stable, scalable data pipelines that cleanse, structure, and integrate disparate big data sets into an accessible format for end-user analyses and targeting using stream and batch processing architectures.
Drive the improvement of the current data architecture, data quality, monitoring, and data availability, collaborating with labels to incorporate new data sources and ensure system reliability.
Develop and lead the implementation of a comprehensive data quality framework to ensure the delivery of high-quality data and analyses to stakeholders.
Overall responsibility for maintenance of enterprise wide data dictionary.
Define, architect, and implement comprehensive monitoring and alerting policies for all mission-critical data solutions.
What You Bring
5+ years of demonstrated experience with SQL
Demonstrated experience with Python, particularly PySpark on Databricks
Demonstrated experience with CI/CD systems
Experience with large data sets and distributed computing. (Spark/Hive/Hadoop)
Demonstrated expertise in Databricks for large-scale data processing, platform optimization, and pipeline orchestration.
Ensure the effective integration of data storage, processing, and retrieval components.
Design and implement fault-tolerant systems to ensure high availability and reliability of data services.
Skilled in testing and monitoring data for anomalies, with a strong ability to troubleshoot and resolve issues.
Significant experience working in a global environment, overseeing engineers, collaborating with cross-functional teams, and effectively reporting to managers in different time zones.
Experienced in testing and monitoring data for anomalies and rectifying them.
Knowledge of software coding practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations.
Proven ability to lead projects, mentor junior team members, and drive best practices in coding standards, code reviews, and source management.
Great to Have:
Developing solutions in Databricks ecosystems
Experience with CI/CD tools (e.g., Drone, Jenkins, Github Actions)
Experience with CDPs or DMPs
Experience with MCPs
GDPR / CCPA compliance experience
Familiarity with Marketing Technologies
Experience working in an agile environment.
Previous gaming industry experience
What We Offer You:
Take-Two Interactive Software, Inc. (“T2”) is proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment at T2 is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.
Lead architectural design and implementation of stable, scalable data pipelines. Drive improvements in current data architecture, data quality, monitoring, and availability. Develop and lead the implementation of a comprehensive data quality framework. Overall responsibility for maintenance of enterprise-wide data dictionary. Define, architect, and implement comprehensive monitoring and alerting policies for mission-critical data solutions. 5+ years of experience with SQL, Python (particularly PySpark on Databricks), and CI/CD systems. Experience with large datasets and distributed computing (Spark/Hive/Hadoop). Demonstrated expertise in Databricks for large-scale data processing, platform optimization, and pipeline orchestration. Ability to design and implement fault-tolerant systems for high availability. Skilled in testing and monitoring data for anomalies, troubleshooting, and resolving issues. Significant experience working in a global environment and leading projects, mentoring junior team members, and driving best practices.