Principal Data Engineer

Breakthru Beverage Group; Tampa (FL); Hybrid; USD 110,000 - 140,000; Full time

Job summary

Breakthru Beverage Group in Tampa, FL is seeking a Principal Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data products that power BI, analytics, and AI across the enterprise. This senior individual contributor provides technical leadership and collaborates across teams to advance the Data & AI strategy.

Responsibilities include leading data pipeline and platform development on AWS and Snowflake, mentoring engineers, and ensuring robust CI/CD, governance,

Qualifications

• Bachelor’s degree in a technical field.
• 8+ years of experience in Data/Software Engineering or related roles.
• Strong SQL expertise and ability to build scalable data transformations.
• Proficiency in Python for data engineering, orchestration, and automation.
• Hands-on experience designing and operating enterprise data platforms on AWS and Snowflake.
• Experience with dbt or similar ELT frameworks.
• Proven track record building production-grade batch and near real-time pipelines.
• Understanding of dimensional modeling and scalable data architectures.
• Experience enabling analytics, AI/ML, and AI-driven applications.
• Knowledge of CI/CD, Git workflows, automated testing, and IaC deployments.

Responsibilities

• Design, build, and maintain scalable data pipelines on AWS and Snowflake.
• Develop ELT/ETL processes using dbt, SQL, and Python for BI and AI use cases.
• Create curated, scalable data models and data products for enterprise use.
• Optimize pipelines for performance, scale, reliability, and cost.

Skills

SQL

Python

Data pipelines

Data modeling

AWS

Snowflake

ETL/ELT

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field

Tools

dbt

AWS

Snowflake

Job description

Linthicum MD USA

Chicago, Illinois

Tampa, Florida

Full time

R0044172

Time Type:

Full time

Remote Type:

Job Family Group:

Information Technology

Job Description Summary:

The Principal Data Engineer is responsible for designing, developing, and optimizing scalable data pipelines, data products, and cloud-based solutions that support business intelligence, advanced analytics, and AI capabilities across the enterprise. This role establishes data engineering standards, promotes best practices, and drives the development of reliable, secure, and high-performing data solutions.

As a senior individual contributor, this position provides technical leadership and architectural guidance, collaborates across functional teams, and mentors engineers to support the organization’s evolving Data & AI strategy.

Job Description:

This role follows a flexible hybrid schedule - two days per week in the office and three days working from home.

This role can be performed from any Breakthru Beverage office location.

Job Responsibilities:

Data Pipeline Engineering & Architecture

• Design, build, and maintain scalable data pipelines on AWS and Snowflake to ingest, transform, and serve enterprise data.
• Develop ELT/ETL processes using dbt, SQL, and Python to support BI, analytics, and AI use cases.
• Design curated, scalable, and AI-ready data models and data products for trusted enterprise consumption.
• Optimize pipelines for performance, scalability, reliability, and cost efficiency.

Cloud Data Platform Development

• Leverage AWS services (S3, Lambda, Glue, DynamoDB, MWAA, etc.) and Snowflake to build secure and resilient data solutions.
• Implement ingestion frameworks for batch, API, CDC, streaming, and near real-time processing.
• Design data architectures that support modern AI and machine learning workloads.
• Ensure proper orchestration, workflow management, and alignment with CI/CD and governance standards.

Data Quality, Governance & Observability

• Embed data quality checks, testing frameworks, and validation controls into pipelines.
• Support data lineage, metadata management, observability, and AI data governance initiatives.
• Troubleshoot production data issues and implement sustainable root-cause solutions.
• Partner with Data Governance to enforce enterprise data standards.

Performance, Reliability & Engineering Best Practices

• Implement CI/CD and Git-based development practices for data pipelines.
• Monitor, debug, and improve production workflows and platform reliability.
• Apply software engineering best practices including code reviews, automated testing, and infrastructure-as-code principles.
• Continuously improve operational excellence and platform scalability.

Collaboration & Technical Leadership

• Partner with BI, Analytics, AI/ML, and business stakeholders to deliver scalable data and AI solutions.
• Collaborate with AI and Data Science teams to enable model development and AI deployment.
• Mentor engineers and contribute to architecture standards and engineering best practices.
• Influence technical direction and communicate complex concepts across technical and business audiences.

Minimum Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 8+ years of experience in Data Engineering, Software Engineering, or related technical roles.
• Strong expertise in SQL and building scalable, complex data transformations.
• Proficiency in Python for data engineering, orchestration, and automation workflows.
• Hands-on experience designing and operating enterprise-grade data platforms on AWS and Snowflake.
• Experience with dbt or similar modern ELT/transformation frameworks.
• Proven experience building and optimizing production-grade batch and near real-time data pipelines.
• Strong understanding of dimensional modeling, curated data layers, and scalable data architecture patterns.
• Experience designing data solutions that support analytics, AI/ML, and modern AI-driven applications.
• Expertise with CI/CD, Git-based development workflows, automated testing, and infrastructure-as-code deployments.
• Strong troubleshooting, problem-solving, and performance optimization skills.
• Ability to operate effectively in fast-paced, cross-functional enterprise environments.
• Experience leveraging AI-assisted engineering and developer productivity tools to improve code quality, reliability, and delivery speed.
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Preferred Qualifications:

• Experience with data observability and data quality tools.
• Knowledge of SAP data structures (S/4, BDC data products)Experience in large-scale enterprise environments.

This job description is only a summary of the typical functions of this position, not an exhaustive or comprehensive list of all possible job responsibilities, tasks and duties. Responsibilities, tasks, and duties of individual jobholders may vary from the above description.

Salary Range: $110,000 - 140,000

Corporate Bonus: 20%

Breakthru Beverage Group is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information and other legally protected characteristics. The EEO is the Law poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf). If you need a reasonable accommodation because of a disability for any part of the employment process, please call [phone] and let us know the nature of your request and your contact information.

We’re driven to be the industry leader in every way, including how we treat our associates. Which is why we’ve built a people-centric, relationship-driven culture designed to maximize career advancement, a sense of belonging, and wellness. Focused on enhancing every aspect and phase of your career, the Breakthru experience includes our commitment to your growth, belonging, and wellness.

Breakthru Beverage is a family-owned and operated company with operations across the U.S. and Canada, and more than $8 billion in annual sales driven by a team of 10,000 associates. We deliver world-renowned brands to the doorsteps of North America’s retail, bar and restaurant businesses.