Senior Data Platform Engineer

Join Choco, where we build and own solutions that reshape a broken food system. The global food supply chain is inefficient by design. Waste is high, margins are thin, and most distributor order processes are done over the phone, tracked across broad spreadsheets, and based on intuition rather than strong data. At Choco, we’re changing that. We build software used daily by food distributors and their customers to run their business. It automates orders, reduces errors, and helps operations run faster and more reliably. Because it’s embedded in daily operations, our SaaS platform has immediate, real-world impact, on efficiency, margins, and how businesses run day to day. As a Senior Data Platform Engineer, you'll build and evolve the data foundation that powers Choco's internal analytics, AI capabilities, and customer-facing data products. As we scale to serve increasingly demanding enterprise customers, our data platform needs to meet higher standards for reliability, freshness, quality, and compliance. You'll own critical parts of our ingestion, transformation, and data platform ecosystem-helping us move toward enterprise-grade SLAs while making it easier for teams across Choco to build trustworthy data products. This isn't a role focused purely on pipelines. You'll own problems end-to-end, from understanding why they matter to designing, shipping, operating, and driving adoption of scalable solutions. What you'll do - Design and build a scalable data platform, from ingestion frameworks to the data products consumers rely on. - Build and operate batch, streaming, and CDC pipelines across heterogeneous data sources. - Deepen data observability and establish SLA/SLO frameworks around reliability, freshness, quality, and downstream impact. - Implement PII masking, retention, and data contracts that make compliance and governance part of the platform by design. - Improve data modeling, warehouse/lakehouse standards, and developer productivity through reusable tooling, automation, and AI-assisted workflows. - Lead technical initiatives from architecture through implementation, rollout, and production operation. - Make pragmatic engineering decisions balancing scalability, reliability, cost, and business priorities. - Help prepare Choco's data platform for the next stage of enterprise-scale growth. What you bring - 5+ years of experience in Data Engineering, Data Platform Engineering, or similar roles, with ownership of production data systems in a SaaS, fast-paced environment. - Strong experience building distributed data pipelines using technologies such as Spark/Databricks, dbt, Airflow, SQL, and Python. - Experience with streaming/CDC, heterogeneous data ingestion, and modern lakehouse or warehouse architectures. - Hands-on experience with data quality, observability, governance, and infrastructure-as-code followed by strong system design and technical judgement, with a track record of owning complex problems from discovery through production. - Clear communication and the ability to influence technical decisions across teams. - Experience with Kafka/Kinesis/Debezium or supporting ML/AI workloads in production is a plus. WHAT YOU GET - Work on digitalizing core operating systems for food distributors, automating orders, sales and payments in a system that still largely runs on calls and spreadsheets. - Work with an AI product with proven product–market fit, already embedded in distributor workflows and directly affecting order accuracy, speed, and margins. - Join a global team across 6 countries and 40+ nationalities, building a company that has raised $300M+ and reached unicorn status (~$1.2B valuation) with the ambition to define this category end-to-end. - In return, you get real ownership, equity, and the support to do your best work, including competitive compensation, health and wellbeing support, and long-term benefits like a sabbatical (all localized by office). - Collaborate with people who want to own outcomes in a m…