Senior Data Platform Engineer

Riverside Natural Foods Ltd. (Home of MadeGood); Toronto; On-site; CAD 120,000 - 145,000; Full time

Benefits offered by this job

Comprehensive benefits program

RRSP or 401k matching

Tuition Reimbursement programs

Job summary

Riverside Natural Foods Ltd. (Home of MadeGood) is looking for an Enterprise Data & Generative AI Engineer in Toronto, Ontario. This role is critical as the company invests in evolving its data capabilities to enhance its BI and AI strategy. The ideal candidate will have a Bachelor’s degree and substantial experience in data engineering, specifically with SAP and cloud lakehouse platforms. Competitive salary and comprehensive benefits offered within a values-driven environment.

Qualifications

• 5+ years of experience in BI, Data Engineering, or Analytics roles preferred.
• Prior work integrating SAP with cloud lakehouse platforms.
• Familiarity with cloud platforms (Azure, AWS, or GCP).

Responsibilities

• Support Riverside's BI and AI Strategy.
• Design and implement scalable ingestion pipelines.
• Optimize pipelines for performance and reliability.

Skills

Strong SQL

Python for data engineering

SAP S/4HANA data structures

Databricks or Snowflake

Experience with IoT/OT data ingestion

Education

Bachelor's degree in Computer Science or related field

Tools

SAP Datasphere modeling

Airflow

Kinesis

Job description

Overview

Primary Responsibilities

Join Riverside Natural Foods Ltd., a $300 million+ Canadian-based, family-owned, and globally operating business. As a B-Corp certified, Triple-Bottom Line company, we manufacture nutritious, 'better-for-you' snacks such as MadeGood and GOOD TO GO. We value teamwork, humility, respect, ownership, adaptability, grit, and fun. We are on an ambitious mission to double our business by 2027 and seek talented individuals to help reach new heights.

You can learn more about us at www.riversidenaturalfoods.com.

Position Summary: As Riverside Natural Foods continues its business transformation, we are investing in data and analytics capabilities to support long-term, values-based growth. A key pillar is evolving a trusted data ecosystem as a foundation for our BI and AI strategy. The Enterprise Data & Generative AI Engineer builds and operates the data foundation powering analytics, machine learning, and Generative AI across the organization. This role covers cloud lakehouse platforms (Databricks or Snowflake), syndicated 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 should be a self-starter with strong communication skills, curiosity, and a deep understanding of SAP-centric enterprise data architecture with other modern lakehouse data ecosystems.

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.
• Ensure reliable delivery of current reports consumed by the business and support 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

• 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 BT&T and business stakeholders to translate priorities into scalable data solutions that support analytics and GenAI.
• Provide technical guidance on data architecture decisions involving SAP Datasphere, Databricks, Snowflake, and IoT/OT data platforms.
• Be a Riverside Brand Ambassador, staying close to consumers and protecting product quality, availability, and experience.

Qualifications

Education & Experience

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
• 5+ years of CPG experience in BI, Data Engineering, or Analytics roles preferred.
• Prior work integrating SAP with cloud lakehouse platforms.
• Experience with IoT/OT data ingestion and industrial data protocols and 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.
• 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.

Note: This role is a new vacancy.

Salary Range: $120,000 CAD - $145,000 CAD

Our compensation and posting practices aim for transparency and fairness. The range reflects target compensation at posting; exact compensation will be based on experience, skill set, education, and training, as well as internal equity.

What We Expect

• Values-led: Respect, teamwork, resourcefulness, and a sense of fun. Progress may be imperfect, but we stay true to our values and learn along the way.
• Unparalleled experiences and opportunities: Help shape the organization and its processes, rolling up your sleeves when needed.
• Access to everyone: A flat organization with open access to founders to production staff; speak up and share ideas.
• Personal development: We support you to chart your own path with training and tools to grow.
• Gratitude: We value you and show appreciation.
• Brand ambassador: Represent the brand and protect product quality and experience.

What We Offer

• Values-led environment with alignment to our principles.
• Courageous determination and resourcefulness in a fast-growing business.
• Humility and supportive culture with emphasis on collaboration.
• Continuous improvement: Learn from mistakes and continuously improve.

Wait! There’s more:

• Comprehensive benefits program, with Riverside covering costs.
• RRSP or 401k matching.
• Eligibility for Riverside Profit Sharing Plan.
• Employee-Led Resource Groups (ERGs) supporting mental health, sustainability, diversity, and LGBTQ+ rights.
• Riverside University and Tuition Reimbursement programs.
• Open concept work environment aligned with our values.

How To Apply

If you have the commitment to excellence, please submit your resume to careers(at)riversidenaturals.com with the job title in the subject line or use the apply button. Riverside Natural Foods Ltd. is committed to an inclusive environment. If you require accommodation in the interview process, please let us know. We thank all applicants; however, only selected candidates will be contacted.

Disclaimer: We may use technology-assisted tools to support review and assessment of applications. These tools do not make final hiring decisions; all decisions are made by our Talent Acquisition and hiring teams.