Enterprise Data & Generative AI Engineer

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.

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.

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.

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

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.

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.

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.

Please note this role as a new vacancy.

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.

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.