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  3. Senior Data Platform Engineer
Sword logo

Senior Data Platform Engineer

Sword
Porto, Portugal
Full Time
Posted April 28, 2026
€47k - €74k
Power Generation
Remote
~25 people viewed this recently
Apply Now

Application opens on company website

Job Description

At Sword, we’re building AI to heal billions and unlock humanity’s full potential.

Requirements

  • Proven experience designing and operating data platforms at scale - warehouse, data lake, or lakehouse architectures in production.
  • Hands-on experience with a modern lakehouse table format - Iceberg strongly preferred; Delta Lake or Hudi also welcome. You understand how the format works under the hood: metadata layout, snapshots, manifests, compaction, copy-on-write vs. merge-on-read.
  • Clear mental model of catalogs (REST, Polaris, Glue, Unity, Hive) - their trade-offs, and how compute stays detached from storage.
  • Exposure to at least one vendor lakehouse or query platform - Snowflake, Starburst, or Databricks — at the level where you can reason about its architecture, not just use its UI.
  • Strong experience with a distributed processing engine - Flink strongly preferred; Spark also fine. You can reason about its internals, fine-tune a running job, and debug a pipeline that’s silently degrading.
  • Familiarity with durable execution - Temporal, Restate, or similar - or at minimum a solid mental model of what durable execution means and why it matters for data workflows.
  • Production experience building and operating APIs (REST or gRPC) at scale - good instincts about contracts, versioning, retries, rate limiting, and observability.
  • Solid understanding of Kafka and event-driven architectures (producers/consumers, partitioning, delivery semantics).
  • Comfortable in regulated environments (healthcare, fintech, gov) where audit, compliance, and data governance are part of every design.
  • Platform mindset: you design for self-service, API-first, and with systems and agents - not only humans - as legitimate consumers.
  • Deeper familiarity with open/REST catalogs (Polaris, Nessie, Unity) beyond basic use.
  • Observability stack fluency (Prometheus, Grafana, OpenTelemetry).
  • Prior work on agentic or AI-facing API surfaces, or MCP-style interfaces.
  • Experience in HIPAA, FedRAMP, or SOC 2 environments.
  • dbt, DataHub, or data contract tooling exposure.
  • Service orientation: you build APIs (and increasingly agent-facing tools) that others love to use.
  • Reliability-first: failure modes, retries, and observability are part of day-one design.
  • Cross-functional: you enjoy working with data engineers, analysts, and ML engineers and understanding their problems.
  • Documentation mindset: good APIs come with great docs — and good docs now means machine-readable too.
  • Iterative: you ship incrementally and improve based on feedback.

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