Principal Data Engineer

TCB - HQ - Carlsbad, United States

Topgolf Callaway Brands

The Investor Relations website contains information about Topgolf Callaway Brands Corp.'s business for stockholders, potential investors, and financial analysts.

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ABOUT THE BRAND:

Callaway Golf is the leading manufacturer of premium golf clubs, balls, performance gear and accessories worldwide.  Through an unwavering commitment to innovation, we push the limits of performance and create demonstrably superior products designed to make every golfer a better golfer.

Our company is a blend of experience and diverse backgrounds, and together we look to move the game forward, and we want top-notch people to join us in that mission!

By joining Callaway Golf, you also join part of the portfolio of brands within Topgolf Callaway Brands, an unrivaled tech-enabled Modern Golf and active lifestyle company delivering leading golf equipment, apparel, and entertainment, with a portfolio of global brands including Topgolf, Callaway Golf, TravisMathew, Toptracer, Odyssey, OGIO, Jack Wolfskin, and World Golf Tour (“WGT”). “Modern Golf” is the dynamic and inclusive ecosystem that includes both on-course and off-course golf. For more information, please visit https://www.topgolfcallawaybrands.com

As a Principal Data Engineer, you will play a critical role in helping the organization leverage data and technology to drive business growth, customer engagement, and data-driven decision-making. The primary responsibilities will be building, managing, and optimizing data pipelines as well as machine learning models for predictive analytics effectively into production for critical data and analytics consumers like business/data analysts, data scientists, or any persona needing curated data for data and analytics use cases across the enterprise.

ROLES AND RESPONSIBILITIES

  • Design and maintain data architecture using Snowflake, Azure, and Python for robust data solutions.

  • Develop and optimize ELT/ETL workflows with Python, SQL, and Spark for data accuracy and scalability.

  • Lead development and deployment of data-driven solutions, supporting Gen AI and AI applications.

  • Apply software engineering principles to build scalable, maintainable data and application solutions.

  • Collaborate with cross-functional teams to define business requirements and architect data solutions.

  • Ensure compliance with data privacy regulations and best practices.

  • Implement DevOps processes to automate deployment and testing of data pipelines and software.

  • Stay current on data engineering, Gen AI, and marketing technology trends, recommending adoption.

  • Deliver high-quality, scalable solutions in an Agile environment, meeting deadlines and budgets.

TECHNICAL COMPETENCIES (Knowledge, Skills & Abilities)

  • Expert in Snowflake pipelines for data workloads in Azure or AWS.

  • Deep knowledge of marketing tech stack: marketing tools (Email, SMS, Paid channels like Google Ads, Meta Ads) and CDPs.

  • Strong data modeling skills for designing efficient, scalable database structures.

  • Knowledge of Gen AI, AI frameworks (TensorFlow, PyTorch, scikit-learn).

  • Strong software engineering skills, including React, JavaScript, tools (Node.js, Git, Webpack).

  • Proficient in complex, high-volume, high-dimensionality data.

  • Advanced Python fluency for data engineering and SQL expertise for data optimization.

  • Proficient in DevOps, cloud platforms (Kubernetes, serverless), IaC (CloudFormation, Terraform).

  • Excellent communication skills.

  • Self-motivated, results-oriented, data excellence-focused.

EDUCATION AND EXPERIENCE

  • Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or related field; Master’s degree preferred.

  • 8+ years of experience in data engineering, with a focus on designing and building data pipelines and architecture.

  • 5+ years of hands-on experience with Snowflake, Azure, and Python in data solutions.

  • Proven track record in software engineering, with experience in React and modern development tools.

  • Demonstrated leadership in delivering scalable, data-driven solutions in an Agile environment.

#LI-EH1

DE&I and EEOC:

Inclusion & Diversity: As a purpose-led, performance driven company, we strive to foster a culture of belonging based on respect, connection, openness and authenticity. We are committed to building and maintaining a workplace that celebrates the diversity of our associates, supporting them to bring their authentic selves to work every day.

If your experience is close to what we’re looking for, please consider applying. Experience comes in many forms, skills are transferable, and passion goes a long way. We know that diverse backgrounds and experiences make for the best problem-solving and creative thinking, which is why we’re dedicated to adding new perspectives to the team and encourage everyone to apply. We look forward to learning more about you.

ARE YOU READY TO MAKE THE TURN? APPLY TODAY!

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile Architecture AWS Azure CloudFormation Computer Science Data pipelines DevOps ELT Engineering ETL Generative AI Git JavaScript Kubernetes Machine Learning ML models Node.js Pipelines Privacy Python PyTorch React Scikit-learn Snowflake Spark SQL TensorFlow Terraform Testing

Perks/benefits: Career development Startup environment

Region: North America
Country: United States

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