Senior Data Platform Engineer

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. 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.

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.

What you'll need

• 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.

Nice to have

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

What they offer

• Competitive compensation, health and wellbeing support, and long-term benefits like a sabbatical (localized by office).
• Real ownership and equity.
• Work with a global team across 6 countries and 40+ nationalities.