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Engineer, Enterprise Data

Power your Thirst for More at DrinkPAK, where we revolutionize beverage manufacturing, driven by automation and sustainability. Together, through grit and innovation, we break new ground in record time by acquiring the most advanced technology and attracting the brightest talent. Our explosive growth and journey through uncharted territories offers unique career opportunities enabling passionate individuals to reach their full potential. To support our teams, we offer enriching lifestyle accounts, comprehensive benefits, formal development programs, and an energizing environment. Drive your success at DrinkPAK, where we refresh, hydrate and nourish the world and our employees alike.

POSITION DESCRIPTION: We are seeking a Data Engineer to build and maintain a unified enterprise data lake that brings together data from our manufacturing, operational, and business systems. Reporting directly to the Director of Software Development, this individual contributor will develop and document technical architecture, integration patterns, and governance of our data platform, enabling analytics, reporting, and future AI/ML initiatives.


This role is ideal for someone who thrives at the intersection of data engineering, architecture, and business impact, and who enjoys shaping strategy while remaining deeply hands-on.


LOCATION:
The position can be based at either DrinkPak’s Headquarters (DP1) in Santa Clarita, California.

TYPE: Full Time; Salaried / Exempt

BENEFITS: The well-being of our team members is critically important to us. As part of this commitment, we offer:

  • 100% PPO medical, dental, and vision insurance for our employees, 100% for their dependents, paid by the Company

  • A cell phone stipend

  • Annual discretionary bonus

  • 401(k) match program, pet insurance, life insurance, and more


RESPONSIBILITIES


Enterprise Data Architecture

  • Maintain a centralized data lake that integrates data from ERP, MES, manufacturing equipment, IoT, quality systems, supply chain, and business applications.

  • Define data ingestion, transformation, and storage patterns to support structured and semi-structured data.

  • Establish scalable architectures that support analytics, reporting, and advanced use cases (forecasting, optimization, AI/ML).

Data Integration & Engineering

  • Lead development of data pipelines using modern integration tools and frameworks.

  • Integrate real-time and batch data sources into the data lake.

  • Ensure data quality, reliability, and performance across all ingestion workflows.

Data Governance & Standards

  • Define data models, naming conventions, metadata standards, and data lineage practices.

  • Partner with IT and business stakeholders to implement data governance, access controls, and security policies.

Platform Optimization & Reliability

  • Monitor and optimize performance, scalability, and cost of the data platform.

  • Design fault-tolerant, resilient data pipelines with monitoring and alerting.

  • Establish backup, recovery, and data retention strategies.

Technical Leadership & Influence

  • Serve as the subject matter expert for data architecture and integration.

  • Translate business and operational requirements into scalable technical solutions.

  • Mentor engineers, analysts, and developers on data best practices and platform usage.


QUALIFICATIONS

  • At least 3+ years of experience in data engineering, data architecture, or analytics platform design.

  • Hands-on experience building enterprise data lakes or large-scale data integration platforms.

  • Strong knowledge of cloud-based data services (Azure preferred), including storage, data pipelines, and analytics platforms.

  • Experience integrating ERP, manufacturing, or operational systems into analytics platforms.

  • Proficiency with SQL and at least one programming language.

  • Experience with data governance, security, and access control models.

  • Strong communication skills with the ability to influence both technical and non-technical stakeholders.

  • Experience in manufacturing or industrial environments preferred.

  • Familiarity with streaming data, IoT, or shop-floor data sources preferred.

  • Azure certifications (Data Engineer Associate, Solutions Architect) preferred.


OUR VALUES

Our company’s culture is guided by our shared values of Speed, Intensity, and Purpose. These values are demonstrated in the following ways based on the role within the organization.

  • Speed: Take the initiative to promptly identify and address potential issues or opportunities. Maintain a sense of urgency in your work, completing tasks efficiently.

  • Intensity: Remain resilient in the face of challenges and setbacks by possessing a positive attitude, persevering through obstacles, and demonstrating adaptability in your approach.

  • Purpose: Take ownership of your responsibilities, and value the input and skillsets of your peers by working together as One PAK.


ABOUT DRINKPAK

DrinkPAK is the premiere manufacturer of canned beverages in North America. As producers of the largest and fastest-growing alcoholic and non-alcoholic beverages in the world, DrinkPAK provides full-service support for procurement, batching, processing, filling, packaging, warehousing, and distribution. Founded in 2020, DrinkPAK has revolutionized canned beverage manufacturing by offering extreme capacity and format flexibility through cutting-edge technology and a commitment to the best talent in the industry. For more information, visit www.drinkpak.com.


WORKING CONDITIONS

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

  • The employee frequently is required to talk and hear, in person, via video conferencing (e.g., Zoom, Microsoft Teams, Google Meet, etc.), and telephonically.

  • The employee frequently is required to reach with hands and arms.

  • Specific vision abilities required by this job include close vision, distance vision, peripheral vision, and the ability to adjust focus.

  • The employee is occasionally required to stand and walk and is frequently required to sit.


Base Salary Compensation Range
: $95,000 - 125,000

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