Keurig Dr Pepper Inc. · 2 hours ago
Principal Data Engineer
Frisco, TX
Full-time
Onsite
Senior Level, Lead/Staff
$110K/yr - $168K/yr
10+ years expKeurig Dr Pepper is a leading beverage company in North America, and they are seeking a Principal Data Engineer to lead the development and optimization of their modern data ecosystem. This role involves architecting scalable data solutions, enabling advanced analytics, and mentoring teams to maximize the value of data.
CoffeeFood and BeverageManufacturing
Responsibilities
Architect and implement scalable data pipelines and transformation workflows using dbt, SnowSQL, and cloud-native technologies
Design, build, and maintain enterprise-grade data lakes, data warehouses, and transformation layers leveraging modern architectural patterns such as the Medallion (Bronze, Silver, Gold) architecture to support analytics and machine learning
Implement best practices for data ingestion, modeling, quality assurance, and lineage to ensure trusted and consistent data delivery
Create reusable frameworks and tools for automated deployment, monitoring, and lifecycle management of data assets
Optimize data platforms to deliver reliable, performant, and cost-effective analytics infrastructure
Collaborate with Data Scientists to support AI/ML pipelines—enabling efficient feature engineering, model training, and real-time inferencing
Integrate AI-driven capabilities such as anomaly detection, intelligent alerting, and natural language enrichment into data workflows
Collaborate with cross-functional teams—including Solution Architects, Product Managers, Data Scientists, and Analysts—to align on data strategy and business outcomes
Technically lead product teams involving external partners, ensuring timely delivery of high-quality data solutions
Provide technical thought leadership, guiding project teams and business units through architectural decisions and best practices
Facilitate cross-functional alignment to ensure scalable and sustainable data engineering practices
Define and enforce engineering standards and best practices across the analytics ecosystem
Lead architectural design reviews, ensuring technical rigor and adherence to change control processes
Continuously assess and optimize the performance, reliability, and scalability of the data platform
Contribute to roadmap development and long-term strategy for the enterprise analytics platform
Qualification
Required
Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field
10+ years in data management, including integration, modeling, and optimization
Hands-on experience with Analytics tools and platforms like Snowflake or Informatica Cloud
Expert in SQL, SnowSql coding, ETL, and data warehousing
Expert-level knowledge of Snowflake architecture, SnowSQL, and data transformation workflows
Advanced proficiency with dbt for modeling, testing, versioning, and orchestrating ELT pipelines
Hands-on experience with Databricks, including Spark-based data processing, Delta Lake, and integration with cloud-native data platforms
Strong command of SQL, Python, and scalable data pipeline development
Proven experience designing and managing enterprise data warehouses and cloud-native data platforms
Deep understanding of modern data modeling techniques (e.g., dimensional, data vault, star/snowflake schemas)
Experience delivering platforms that support advanced analytics and machine learning solutions
Solid grasp of data architecture frameworks such as Data Warehouses, Data Lakes, and Data Hubs
Experience with commercial data science tools like KNIME, Alteryx, or similar platforms
Ability to lead cross-functional teams and manage complex data initiatives from design through delivery
Excellent communicator—able to convey complex technical concepts to both technical and non-technical audiences
Proven track record of influencing architectural direction, mentoring team members, and driving business-aligned outcomes
Demonstrated success in building and optimizing data pipelines to maximize performance and maintainability
Strong analytical and troubleshooting skills with a focus on root cause analysis and long-term solutions
Preferred
AI/ML platforms such as SageMaker, AutoML, or TensorFlow
Data integration and ELT tools like Informatica Cloud, Fivetran, or Azure Data Factory
BI tools: Power BI, Tableau, or MicroStrategy
Working with SAP ERP as a data source
Cloud platforms such as Azure, AWS, or GCP—especially storage, compute, and orchestration services
DevOps practices including Git workflows, CI/CD, and automation
UNIX/Linux environments and shell scripting
Familiarity with DevOps and Agile technology environments (preferred)
Exposure to SAP ERP and SAP-based data integration
Experience with DevOps, CI/CD pipelines, and Git-based workflows
Familiarity with AI/ML use cases in data operations (e.g., intelligent data quality, anomaly detection)
Snowflake, dbt, or cloud platform certifications
Benefits
Medical
Dental
Vision
Disability
Paid Time Off (including paid parental leave, vacation, and sick time)
401k with company match
Tuition Reimbursement
Mileage Reimbursement
Annual bonus based on performance and eligibility
Company
Keurig Dr Pepper Inc.
Keurig Dr Pepper (KDP) is a leading beverage company in North America, with annual revenue in excess of $14.1 billion and nearly 28,000 employees.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$49.52BKey Investors
Starboard ValueJAB Holding Company
2025-10-27Post Ipo Equity· $7B
2025-10-13Post Ipo Equity
2025-08-25Post Ipo Debt· $18.96B
Leadership Team
G
George Lagoudakis
SVP Finance US Refreshment Beverages
J
Jane Gelfand
Senior Vice President, Strategic Finance & Capital Markets
Recent News
2026-01-25
Verdict Food Service
2026-01-22
Company data provided by crunchbase