Sr Data Engineer

Overview

Senior Data Engineer is responsible for designing, building, and optimizing scalable data platforms and pipelines that support analytics, machine learning, and business intelligence initiatives.

• Design, build, and optimize scalable data platforms and pipelines that support analytics, machine learning, and business intelligence initiatives.
• Data Architecture & Engineering Design – develop and maintain scalable data pipelines using Python and AWS‑native services; architect and optimize data warehouse solutions in AWS Redshift, including schema design, workload management, and performance tuning; implement ELT/ETL processes; ensure data integrity, quality, and security.
• Cloud & AWS Platform Development – develop and maintain cloud‑native data solutions leveraging AWS services (Redshift, S3, Glue, Lambda, Sage Maker, Kinesis, RDS, IAM); optimize Redshift clusters for cost efficiency and high performance; implement CI/CD pipelines and infrastructure‑as‑code for data systems.
• Machine Learning Enablement – partner with data scientists to operationalize machine learning models using Sage Maker AI; build pipelines for model training, validation, and deployment; implement feature engineering and feature store best practices; monitor and optimize model performance in production.
• Business Intelligence & Reporting – enable and support analytics and reporting solutions using Amazon Quick Sight; develop curated datasets and semantic layers for self‑service analytics; ensure models are structured for performance and scalability in BI tools.
• Governance & Best Practices – establish and enforce data engineering standards, coding best practices, and documentation; implement monitoring, logging, and alerting for data pipelines and warehouse performance; ensure compliance with security, privacy, regulatory requirements; mentor junior engineers and provide technical leadership.

• 5+ years of experience in data engineering or related roles.
• Deep experience with one or more cloud providers: AWS (Glue, S3, Redshift), Azure (Data Lake, Databricks), or GCP.
• Advanced expertise in AWS Redshift or Snowflake (architecture, performance tuning, query optimization).
• Hands‑on experience with Amazon Sage Maker AI for model development and deployment.
• Advanced proficiency in Python and Airflow for data engineering.
• Deep knowledge of SQL and data modeling techniques (dimensional modeling, star/snowflake schemas).
• Experience with large‑scale distributed data systems and cloud‑native architectures.
• Familiarity with Dev Ops practices, CI/CD, and infrastructure‑as‑code.

• Free Play & 1/2 price food.
• Health, dental, vision coverage.
• 401(k) team‑member match.
• Free mental well‑being platform (for qualified participants).

The above statements cover what are generally believed to be principal and essential functions of the job. Specific circumstances may allow or require some incumbents assigned to the job to perform a different combination of duties.

Topgolf is a global sports and entertainment community and is committed to equal opportunity and is firmly committed to preventing discrimination and harassment, including sexual misconduct, based on legally protected diversity characteristics (such as race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity or expression, family status, citizenship, genetic information and veteran status) in its application and hiring processes and in its employment decisions.

As an affirmative action employer, Topgolf also takes steps to prevent retaliation and to create a respectful, equitable and inclusive environment for our Guests, Associates, business partners, vendors, and the communities we serve. Topgolf is an equal opportunity affirmative action employer and administers all personnel practices without regard to race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity or expression, marital status, veteran status, genetics or any other category protected under applicable law.

Topgolf participates in E‑Verify and will provide the federal government with your Form I‑9 information to confirm that you are authorized to work in the U.S.