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.

• 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 optimized 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 optimize 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.

* experience may include a combination of work experience and education

• 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.

This position embodies the values of Niagara’s LIFE competency model, focusing on the following key drivers of success:

• Provides strategic input and oversight to departmental projects
• Skilled in reducing costs and managing timelines while prioritizing long run impact
• Leads/facilitates discussions to get positive outcomes for the customer
• Makes strategic and sustainable data driven decisions which prioritize the needs of the customer over departmental/individual goals

• Continuously evaluates existing programs and processes, and develops new initiatives to increase…