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 MadeGood 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 like you to help us reach new heights. At Riverside, you’ll have the opportunity to chart your own path to success while contributing to ours. We believe anything worth doing is worth doing right, and our values will guide us through the rugged terrain – and yes, it will get rough. But that’s what makes the journey worthwhile.
So, lace up your boots and let’s tackle the climb together.
You can learn more about us at www.riversidenaturalfoods.com.
Position Summary:
As Riverside Natural Foods continues its business transformation journey, we are investing in leading-edge data and analytics capabilities to support long-term, values-based growth. A key pillar of this transformation is the evolution of a trusted data ecosystem as a foundation for our Business Intelligence and AI strategy.
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:
Data Integration & Pipeline Engineering
- 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.
- Develop real‑time or near‑real‑time data flows for AI‑driven applications using event‑driven architectures.
Enterprise Data Architecture
- Model and harmonize SAP S/4HANA 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.
Platform Engineering & Automation
- 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, advocacy, and long-term brand love.
Qualifications:
Education & Experience
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
- 5+ years of CPG experience in Business Intelligence, Data Engineering, or Analytics roles preferred.
- Prior work integrating SAP with cloud lakehouse platforms.
- Proven experience with IoT/OT data ingestion and industrial data protocols as well as hybrid SAP + cloud analytics architectures.
Technical Skills
- Strong SQL and Python for data engineering.
- Experience with SAP S/4HANA data structures and integration patterns (ODP, CDS views, SAP BTP services).
- Hands‑on experience with SAP Datasphere modeling and data integration preferred.
- Proficiency with Databricks (Spark, Delta Lake) or Snowflake (Snowpark, Streams/Tasks).
- Familiarity with cloud platforms (Azure, AWS, or GCP).
- Experience with orchestration tools such as Airflow, dbt, or SAP Data Intelligence.
- Knowledge of streaming technologies (Kafka, Kinesis, or equivalent).
- Experience building pipelines for unstructured data (documents, images, logs).
- Familiarity with vector databases (FAISS, Pinecone, Weaviate, or cloud-native equivalents).
- Understanding of LLMs, embeddings, and RAG architectures preferred.
- Exposure to ML lifecycle tooling (MLflow, SageMaker, Vertex AI, or Databricks ML).
- Ability to support model monitoring and AI observability preferred.
About You:
- You are proactive, energetic, and bring joy to the teams you work with.
- You naturally take ownership and have a can-do attitude.
- You are highly organized, detail-oriented, and love solving problems.
- You are a strong communicator and enjoy working with both business and technical teams.
- You are passionate about data and helping others make better decisions.
- You are a self-starter and thrive in a collaborative, fast-paced, and values-driven environment.
- You embody Riverside values of humility, adaptability, respect, and fun—and inspire your team to do the same.
- Be Bold & Courageous: Challenge the status quo, act with intent before conditions are perfect, and learn fast. Try new approaches, adjust quickly, and pursue win-win outcomes without compromising quality or trust.
At Riverside, we are committed to transparency and fairness in our compensation and job posting practices. The range above reflects the target compensation for the position at the time of posting. Exact compensation will be determined based on experience, skill set, education, and training, as well as other organizational needs, while balancing internal equity.
What we expect:
- Values-led: You’ll be a member of a thoughtful and compassionate team that prioritizes respect, teamwork and resourcefulness along with a good dash of fun. Sometimes, even making granola bars is hard, and life’s too short to take ourselves so seriously that we don’t enjoy the journey.
- Unparalleled experiences and opportunities: We’re still determining who we are and what we can be. Help us shape what this organization will look like and what we’ll offer the world, into the future. This means rolling up your sleeves and sometimes building the process – fast! – while employing it. At Riverside, progress occasionally means proceeding imperfectly, and we’re okay with that, as long as we’re staying true to our values and learning and improving along the way.
- Access to everyone: We’re a flat organization with few silos which means you’ll have full access to everyone from our founders to our production staff. Even when employees dress up, they wear steel-toed shoes. So don’t be shy. Speak up, share your ideas and go places you normally wouldn’t – like the plant, or the boardroom.
- Personal development: We’ll support and empower you to chart your own path and reach any heights you set for yourself. Career paths at Riverside are carved by the people walking on them, not dictated by leaders. Count on us to give you the training and tools to grow and progress.
- Gratitude: As a growing business, we can’t always offer formal recognition like awards programs, but we do show our true gratitude and appreciation. At Riverside, we’re all in this together and we value you.
- 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, advocacy, and long-term brand love.
What We Offer:
- Values-led: We don’t cut corners or step on anyone or anything on our way to our summit. There is no winning at all costs here. Every step you take must align with our values, no compromises.
- Courageous determination: As a family-run, rapidly growing business, we are often challenged to find ways to deliver that aren’t obvious or easy. You must be willing to try, ask and answer challenging questions, test and learn, turn over every stone, keep moving forward and help us find a way through. Resourcefulness and grit will be your constant companions at Riverside and will serve you well.
- Humility: We’re a small (but growing) fish in a sea of whales and sharks. We know the products we offer are some of the healthiest and most sustainable, but we don’t brag about it, and know we have a steep path ahead. We pride ourselves in being respectful and supportive of others while shining brightly through our innovative, high-quality products. There isn’t one superstar at Riverside. We take turns leading the way as we climb to the summit.
- Continuous improvement: As a learn-as-we-go organization, we rely on each other to continuously improve everything we touch to make it better, more efficient, more sustainable, and more endearing to customers, consumers, employees, vendors, partners and the community. We own our mistakes and learn from them as we wind our way to the top.
Wait! There’s more!
- Immerse yourself in our comprehensive benefits program, with Riverside taking care of the costs!
- RRSP matching or 401k matching for an empowered financial journey
- Eligibility to participate in Riverside's Profit Sharing Plan
- Join Employee-Led Resource Groups (ERGs) championing mental health, sustainability, diversity, women, and LGBTQ+ rights
- Develop your career further through our Riverside University program and with our Tuition Reimbursement Program
- An open concept work environment that embodies our Values
How to Apply:
If you have the commitment to excellence, the energy, the attitude and experience we need, then please submit your resume to careers(AT)riversidenaturals.com with the job title you are applying for in the subject line or click the apply button!
Riverside Natural Foods Ltd. is committed to providing an inclusive and accessible environment for everyone. If you have a disability and require accommodation in the interview process, please let us know when you apply. We thank all applicants for their interest; however, due to volume, please note that only candidates selected for an interview will be contacted.
Disclaimer: As part of our recruitment process, we may use technology-assisted tools, including automated systems, to support the review and assessment of applications. These tools do not make final hiring decisions. All decisions related to screening, interviewing, and selection are made by our Talent Acquisition and hiring teams.
