Principal Data Engineer

$190,700 - $190,700/Yr

Unity Technologies - San Francisco, CA

Full-time - Principal

San Francisco, CA

Publishing Industries

About the position

The Principal Data Engineer role at Unity is a pivotal position that focuses on leading the data engineering efforts within the Data & Analytics department. The successful candidate will have a robust background in machine learning and a proven track record in the AdTech sector. This role is designed for an individual who is not only technically proficient but also possesses the leadership qualities necessary to drive the data strategy for the organization. The Principal Data Engineer will be responsible for developing and optimizing data pipelines that are essential for machine learning models, which in turn enhance Unity's advertising technology solutions. In this role, you will lead the design, implementation, and continuous improvement of data pipelines that support the AdTech platform. Collaboration with cross-functional teams is crucial, as you will need to understand business needs and translate them into complex data models and algorithms. You will manage the collection, storage, and processing of large-scale data sets, ensuring they are optimized for machine learning applications. Additionally, you will develop and maintain a scalable and reliable data infrastructure that supports both real-time and batch data processing. Staying updated on industry trends and advancements in AdTech and machine learning will be essential to identify and implement best practices. As a mentor to senior data engineers and scientists, you will foster a culture of technical excellence and innovation within the team. Ensuring that data privacy and compliance standards are met in all data engineering and machine learning initiatives will also be a key responsibility. This position is ideal for someone who thrives in a fast-paced, dynamic environment and is eager to make a significant impact on the company's data strategy and machine learning capabilities.

Responsibilities

• Lead the design, implementation, and continuous improvement of data pipelines for machine learning that drive the AdTech platform.
• Collaborate with cross-functional teams to understand business needs and translate them into complex data models and algorithms.
• Manage the collection, storage, and processing of large-scale data sets to ensure they are optimized for machine learning.
• Develop and maintain a scalable and reliable data infrastructure that supports real-time and batch data processing.
• Stay abreast of industry trends and advancements in AdTech and machine learning to identify and implement best practices.
• Mentor senior data engineers and scientists, fostering a culture of technical excellence and innovation.
• Ensure data privacy and compliance standards are met in all data engineering and machine learning initiatives.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
• Minimum of 7 years of experience in data engineering with a focus on machine learning models, preferably in the AdTech industry.
• Proficient in programming languages such as Python, Scala, or Java.
• Extensive experience with big data technologies (e.g., Flink, Spark) and cloud platforms (e.g., GCP preferred, AWS).
• Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with deployment of ML models at scale.
• Demonstrated ability to lead projects and collaborate effectively with cross-functional teams.
• Excellent problem-solving skills and ability to work in a fast-paced, dynamic environment.

Benefits

• Competitive salary ranging from $190,700 to $258,000 USD.
• Inclusive and innovative work environment.
• Opportunities for professional development and growth.