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. If you need a reasonable accommodation because of a disability for any part of the employment process, please call (708) 298-3536 and let us know the nature of your request and your contact information.
