Enterprise Data & Generative AI Engineer

Location: North Portal

Join Riverside Natural Foods Ltd., a $300 million+ Canadian-based, family-owned, and globally operating business, committed to leaving the world better than we found it. As a B-Corp certified, Triple-Bottom Line company, we proudly manufacture nutritious, "better-for-you" snacks such as Made Good and GOOD TO GO. We value teamwork, humility, respect, ownership, adaptability, grit, and fun.

We’re on an ambitious mission to double our business by 2027, and we need talented individuals to help us reach new heights.

The Enterprise Data & Generative AI Engineer plays a central role in building and operating the data foundation that powers analytics, machine learning, and Generative AI across the organization. This role spans cloud lakehouse platforms (Databricks or Snowflake), syndicated commercial data (e.g., POS, Nielsen), IoT/PLC data from production lines, unstructured data sources, and SAP Datasphere. The engineer ensures that all enterprise data domains are integrated into a governed, scalable, AI‑ready Data Fabric that supports advanced analytics and GenAI applications.

This individual must be a self‑starter with strong communication skills, a positive outlook, curiosity, and a deep understanding of SAP‑centric enterprise data architecture with other modern lakehouse data ecosystems. Primary Responsibilities • Support the execution of Riverside’s BI and AI Strategy in alignment with enterprise priorities. • Design and implement scalable ingestion pipelines across different application platforms, including POS feeds, Nielsen syndicated data, IoT/PLC data, and unstructured sources such as documents, logs, and images. • Support the reliable delivery of current reports consumed by the business and their transition to better designed technology. • Optimize pipelines for performance, cost, and reliability across the Data Fabric.

6-12 months Horizon: • Build ELT/ETL workflows that support analytics, ML, and GenAI use cases across structured, semi‑structured, and unstructured data based on business priorities. • Model and harmonize SAP S/4

HANA data structures while integrating them with external commercial, operational, and sensor data in collaboration with the SAP Analytics Lead. • Integrate SAP and non‑SAP data into Databricks or Snowflake to support advanced analytics, ML, and GenAI workloads. • Contribute to the design of a unified Data Fabric that supports cross‑domain analytics and AI. Data Governance, Quality & Observability • Implement data quality rules, lineage tracking, and metadata management across SAP, cloud, IoT, and syndicated data sources. • Ensure compliance with security, privacy, and regulatory requirements. • Monitor data drift, embedding drift, and AI‑specific data quality indicators. • Use infrastructure‑as‑code and CI/CD to deploy and manage data pipelines and lakehouse components. • Automate documentation, testing, and pipeline optimization using GenAI‑assisted tools. • Contribute to the design of enterprise data products that are versioned, governed, and AI‑ready. AI/ML & Generative AI Enablement (emerging area) • Prepare curated datasets for ML model training, LLM fine‑tuning, and enterprise GenAI applications. • Build pipelines for document processing, chunking, and embedding generation to support Retrieval‑Augmented Generation (RAG). • Implement and maintain vector databases or embedding stores. • Support synthetic data generation and data augmentation workflows. • Collaborate with ML engineers to operationalize model training, evaluation, and monitoring. Cross-Functional Collaboration • Partner with key resources in BT&T and business stakeholders to understand priorities and translate business requirements into scalable data solutions that support analytics and GenAI use cases. • Provide technical guidance on data architecture decisions involving SAP Datasphere, Databricks, Snowflake, and IoT/OT data platforms. • Be a Riverside Brand Ambassador: Stay relentlessly close to our consumers and represent the brand in every interaction, decision, and deliverable. Bring the consumer voice into your work by protecting product quality, availability, and experience, acting early when standards slip, and delivering consistent value that earns trust,…