Software Engineer (Lake Analytics Platform)

Accountabilities:

• • Operate and extend existing platform capabilities covering provisioning, deployment pipelines, access control, and service lifecycle management for internal tools and applications.
  • Maintain and improve integrations between platform services and internal systems, including CI/CD, identity and secrets management, internal APIs, and event-driven hooks.
  • Support ongoing governance initiatives within a Snowflake-based analytical environment, including access controls, data classification, and dynamic masking.
  • Maintain and incrementally improve self-service automation for access provisioning, pipeline failure handling, and platform service health.
  • Use established telemetry, alerting, and runbooks to diagnose and resolve platform issues while following existing operational practices.
  • Participate in the on-call rotation and triage production incidents affecting supported platform services throughout the engagement.
  • Conduct root cause analysis and contribute to reliable incident resolution and operational improvements.
  • Document technical decisions, processes, and outstanding work clearly to enable an effective handoff at the end of the contract.

  Requirements:

  • Hands-on experience operating cloud-based analytical data platforms such as Snowflake, Databricks, BigQuery, or similar technologies.
  • Experience with access control, data masking, data governance, and compute management in analytical environments, with careful consideration of elevated privileges and potential blast radius.
  • Experience working with containerized applications and production deployment automation.
  • Strong understanding of CI/CD pipelines and tools such as Buildkite, GitHub Actions, or comparable platforms.
  • Experience building or operating internal platforms, developer tooling, or self-service infrastructure used by engineering teams.
  • Familiarity with REST APIs, OAuth/OIDC, webhook ingestion, secrets management, and identity or SSO patterns in managed cloud environments.
  • Proficiency in Python and SQL for developing and maintaining reliable platform services.
  • Strong operational ownership, including the ability to work with existing alerts and runbooks, troubleshoot production issues, and complete root cause analyses.
  • Ability to join an existing codebase or platform mid-stream and become productive quickly with limited onboarding.
  • Strong written communication skills, particularly for asynchronous updates, technical documentation, and project handoffs.
  • Comfortable working within established architectural and operational patterns rather than requiring extensive greenfield design ownership.

  Benefits:

  • Remote opportunity based in Brazil.
  • Hands-on experience across cloud analytics, data governance, platform engineering, and internal developer tooling.
  • Opportunity to work with technologies such as Snowflake, CI/CD platforms, containers, Python, SQL, APIs, and cloud identity systems.
  • Exposure to platform capabilities supporting business applications, analytics, and AI initiatives.
  • High-impact engineering work focused on reliability, automation, self-service, and governed data access.
  • Opportunity to contribute to an established platform and improve existing systems without requiring ownership of net-new architecture.
  • Collaborative environment with clear documentation and structured handoff practices.