Senior Data Platform Engineer

Stack

Responsibilities

• ▹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, and quality
• ▹Implement PII masking, retention, and data contracts as part of the platform
• ▹Improve data modeling and warehouse/lakehouse standards 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 enterprise-scale growth

Requirements

• ▹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 with 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, plus strong system design and technical judgement

Nice to have

• ▹Experience with Kafka, Kinesis, or Debezium, or supporting ML/AI workloads in production

Soft skills

What we offer

• ▹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

About the company

Choco builds software that reshapes the food supply chain, which today runs largely on phone calls, spreadsheets, and intuition rather than data. Its SaaS platform is used daily by food distributors and their customers to automate orders and reduce errors, giving it immediate, real-world impact on efficiency and margins.