Sr. Enterprise Data Foundation & Automation AI Engineer

At Niagara, we’re looking for Team Members who want to be part of achieving our mission to provide our customers the highest quality most affordable bottled water.

Consider Applying Here, If You Want To

• Work in an entrepreneurial and dynamic environment with a chance to make an impact.
• Develop lasting relationships with great people.
• Have the opportunity to build a satisfying career.

We offer competitive compensation and benefits packages for our Team Members.

The Sr. Enterprise Data Foundation & Intelligent Automation AI Engineer is responsible for designing, developing, and optimizing analytical data models, data pipelines, and intelligent automation solutions. This role plays a critical part in strengthening the organization’s data foundation, improving data maturity, and enabling high-quality, data‑driven decision‑making across the enterprise.

• Design, develop, and maintain high-quality data pipelines, models, and automation solutions in alignment with Analytics Modeling ELT principles.
• Implement data quality frameworks and data governance best practices to ensure reliable and trusted data assets.
• Solve complex data engineering problems to enhance business intelligence and operational efficiency.
• Develop reusable data products for product managers, data scientists, and business teams to streamline decision‑making processes.
• Collaborate with data engineers, machine learning engineers, and solution architects to create scalable and optimised enterprise data solutions.
• Support AI‑first initiatives and Robotic Process Automation (RPA) to drive efficiency across the analytics data value chain.
• Partner with key stakeholders to automate and optimise business processes through Business Process Automation (BPA).
• Continuously evaluate emerging data technologies and automation tools to enhance data engineering productivity.
• Foster a culture of innovation, efficiency, and technical excellence within the data engineering domain.
• Please note this job description is not exhaustive and may be subject to change as business needs evolve.

• Minimum Qualifications:
  • 4 years of experience in technology consulting, data analytics, or related fields.
  • 4 years of experience supporting operations or strategy functions.
  • 2 years of experience managing projects or teams.
• Preferred Qualifications:
  • 6 years of experience in technology consulting, data analytics, or related fields.
  • 6 years of experience in operations or strategy functions.
  • 4 years of experience managing projects or teams.
• Experience may include a combination of work experience and education.

• Strong expertise in ELT, SQL, and at least one programming language (e.g., Python, R).
• Experience developing and maintaining data warehouses and big data solutions (e.g., Snowflake, Hadoop, Spark, Big Query).
• Understanding of cloud computing services for data and analytics solutions.
• Experience working with relational, No
  
  SQL, and cloud‑based databases.
• Conceptual knowledge of data governance, dimensional modeling, and structured/unstructured data management.
• Exposure to machine learning, artificial intelligence, and statistical methodologies.
• Familiarity with agile methodologies and experience in cross‑functional teams.
• Strong problem‑solving skills with the ability to simplify complex technical concepts for broader organizational alignment.
• Passion for technology, innovation, and continuous learning.
• Ability to foster a culture of collaboration, transparency, and trust.

• Minimum
  
  Required:
  • Bachelor’s Degree in Supply Chain/Information Technology/Business Analytics/Systems Engineering/Data Science or other related field.
• Preferred:
  • Master’s Degree in Supply Chain/Information Technology/Business Analytics/Systems Engineering/Data Science or other related field.

• Required:
  
  N/A
• Preferred: APICS CPIM/CSCP, PMP PMI

Pay Rate Type:
Salary

$ - $ / Yearly

Our Total Rewards package is thoughtfully designed to support both you and your family:
Regular full‑time team members are offered a comprehensive benefits package, while part‑time, intern, and…