Data Engineering Manager - Advanced Analytics

Data Engineering Manager - Advanced Analytics

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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.

• Lead and manage a team of data engineers and analytics professionals, providing strategic direction, mentorship, and hands‑on support to foster a collaborative, high‑performing team environment focused on delivering impactful data solutions.
• Establish clear objectives and key results (OKRs) for the team that align with the enterprise analytics and data strategy, ensuring close coordination with business goals and evolving priorities.
• Conduct regular performance reviews, deliver constructive feedback, and champion continuous learning by identifying training, upskilling, and development opportunities for team members.
• Partner with cross‑functional teams, including business analysts, data scientists, IT, and key business stakeholders, to understand data requirements and deliver solutions that support business intelligence, operational reporting, and advanced analytics use cases.
• Define and implement best practices in data engineering, covering data modeling, pipeline orchestration (ETL/ELT), data integration, and data quality, while ensuring reliable access to data from diverse sources such as databases, APIs, cloud platforms, and IoT systems.
• Drive continuous improvement and innovation in data architecture and engineering techniques, with a focus on increasing scalability, performance, and reusability across the analytics ecosystem.
• Oversee project planning and execution, balancing team capacity with priority management, delivery timelines, and quality standards to ensure successful outcomes for strategic and operational analytics initiatives.
• Collaborate with cross‑functional business and IT stakeholders to define and implement data and analytics strategies that support enterprise decision‑making, ensuring data integrity, security, and governance across all analytical initiatives.
• Provide technical leadership in data engineering and analytics infrastructure, leveraging modern cloud‑native tools to enable high‑performance data platforms that support BI, reporting, and advanced analytics.
• Champion a culture of data innovation and continuous learning, encouraging the team to explore new data patterns, tooling, and architectural practices that improve scalability, reliability, and time‑to‑insight.
• Oversee resource planning, vendor coordination, and budget management for the analytics engineering function, ensuring alignment with strategic priorities and operational efficiency.
• Lead the design and implementation of high‑volume, scalable data pipelines, models, and data marts across Data Lakes and Data Warehouses to support reporting, dashboarding, and analytics workloads.
• Translate technical and project outcomes into business context through executive‑ready presentations and analytics steering committee briefings, facilitating alignment and decision‑making.
• Demonstrate proficiency in Microsoft Azure Cloud (preferred) and/or Amazon Web Services, particularly within data engineering and analytics service ecosystems (e.g., Azure Data Factory, Synapse, Databricks, Redshift).
• Build and manage Dev Ops pipelines for CI/CD and analytics solution deployment, ensuring consistency, automation, and compliance with change control standards.
• Serve as a proactive leader who delivers on commitments and identifies opportunities for process improvement, team development, and organizational data literacy.
• Coordinate and collaborate with onsite and offshore consultants to support scalable delivery and knowledge transfer across global analytics initiatives.
• Maintain flexibility and…