Sr. Data Engineer

Callaway Golf • Austin, TX

3d

About The Position

As a Senior 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 AI tools 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.

Requirements

• 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 AI platforms.
• Strong software engineering skills, including React, JavaScript, tools (Node.js, Git, Webpack).
• Advanced Python fluency for data engineering and SQL expertise for data optimization.
• Excellent communication skills.
• Self-motivated, results-oriented, data excellence-focused.
• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, or related field; Master’s degree preferred.
• 5+ 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.

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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level