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Riverside Natural Foods Ltd.

engineering opportunity

Senior Data Platform Engineer

The Enterprise Data & Generative AI Engineer will build and operate the data foundation that supports analytics, machine learning, and Generative AI across the organization. This includes designing scalable data pipelines and ensuring integration of enterprise data domains into a governed, AI-ready Data Fabric.

San Francisco, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Riverside Natural Foods Ltd.?

Join Riverside Natural Foods Ltd., a 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

[https://www.riversidenaturalfoods.com].

Position Summary:

Riverside Natural Foods is investing in modern data and analytics capabilities

to support business growth and innovation. As part of this transformation,

Databricks is becoming the central platform for all non-SAP data, enabling

advanced analytics, reporting, and emerging AI use cases.

The Data Platform Engineer (Databricks) will play a key hands-on role in

designing, building, and operating this platform. This role is responsible for

delivering end-to-end data solutions—from ingestion and transformation

to modelling and consumption—while shaping best practices for scalable,

reliable, and high-performing data pipelines.

This is a highly hands-on role ideal for someone who enjoys building, solving

complex data challenges, and owning technical delivery within a modern cloud

data platform.

Primary

Responsibilities

  • 1. Databricks Platform Ownership
  • Design, build, and maintain the Databricks platform as the central hub for
  • non-SAP data
  • Define and implement best practices for data architecture, pipeline development,
  • and platform usage
  • Ensure platform scalability, performance, reliability, and cost efficiency
  • 2. Data Engineering & Pipeline Development
  • Develop and maintain scalable data pipelines using Databricks
  • Ingest data from a variety of sources, including APIs and external data
  • providers, streaming platforms (e.g., Kafka), Internal non-SAP systems, etc.
  • Build ETL/ELT workflows to support analytics and reporting needs
  • Support both batch and streaming data processing patterns
  • 3. Data Modeling & Architecture
  • Design and implement data models to support analytics and reporting use cases
  • Define how data is structured, stored, and accessed within Databricks
  • Enable integration with SAP Datasphere where required, while maintaining
  • flexibility for independent datasets
  • 4. End-to-End Data Delivery
  • Deliver complete data solutions from ingestion to consumption
  • Collaborate with analytics and reporting team members to ensure data usability
  • and performance
  • Support downstream use cases, including dashboards, reporting, and advanced
  • analytics
  • 5. AI & Advanced Analytics Enablement
  • Enable AI and advanced analytics capabilities within Databricks
  • Support data preparation for machine learning and AI-driven use cases
  • Leverage built-in Databricks features to accelerate innovation
  • 6. Engineering Best Practices & Tooling
  • Use GitHub for version control and collaborative development
  • Implement CI/CD practices for data pipelines and platform components
  • Improve automation, testing, and documentation across the platform
  • 7. Vendor & Partner Collaboration
  • Work with external partners and contractors when required
  • Provide guidance to ensure alignment with platform standards and architecture
  • Maintain quality and consistency across all Databricks deliverables

Qualifications

  • Education & Experience
  • * Bachelor’s degree in Computer Science, Engineering, Information Systems, or
  • related field
  • * 5+ years of experience in data engineering, data platform development, or
  • analytics engineering
  • * 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.
  • * Strong hands-on experience with Databricks (must-have)
  • * Proficiency in SQL and Python
  • * Experience building scalable data pipelines (ETL/ELT)
  • * Experience ingesting data from APIs, streaming platforms (e.g., Kafka), or
  • similar technologies
  • * Experience working with cloud-based data platforms (Azure preferred)
  • * Experience with version control tools such as GitHub

Nice to Have

  • * Experience with SAP S/4HANA data structures and integration patterns (ODP,
  • CDS views, SAP BTP services).
  • * Prior work integrating SAP with cloud lakehouse platforms.
  • * Hands‑on experience with SAP Datasphere modelling and data integration.
  • * Familiarity with cloud platforms (Azure, AWS, or GCP).
  • * Knowledge of streaming technologies (Kafka, Kinesis, or equivalent).
  • * Understanding of LLMs, embeddings, and RAG architectures.
  • * Experience building pipelines for unstructured data (documents, images,
  • logs).
  • * Exposure to ML lifecycle tooling (MLflow, SageMaker, Vertex AI, or Databricks
  • ML).
  • * Ability to support model monitoring and AI observability.
  • About You:
  • * Hands-on and solution-oriented, with a strong sense of ownership
  • * Comfortable working across the full data lifecycle
  • * Strong problem-solving and analytical skills
  • * Effective communicator, able to collaborate with both technical and business
  • teams
  • * Self-starter who thrives in a fast-paced, evolving environment
  • * Passionate about building modern data platforms that enable better
  • decision-making
  • * Naturally take ownership and have a can-do attitude.
  • * 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.
  • Please note this role as a new vacancy.
  • Salary Range
  • $120,000—$145,000 CAD
  • 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.

Which skills does this role require?

SQLPythonSnowflakeIoT DataData GovernanceMachine LearningGenerative AIData EngineeringEvent-Driven ArchitecturesData QualityMetadata ManagementEnterprise DataData EcosystemBusiness IntelligenceAnalyticsCloud LakehouseData FabricVector DatabasesCI/CDInfrastructure-as-CodeData PipelinesDocument ProcessingRetrieval-Augmented GenerationSynthetic Data GenerationData AugmentationCollaborationConsumer InsightsContinuous ImprovementProactive Problem SolvingTeamwork

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