Tech Stack
AirflowBigQueryCloudDockerKafkaKubernetesPythonSQLTerraform
About the role
- Own the platform architecture for core services and data: ingestion → transformation → storage → serving → observability
- Define data contracts and schemas between ingestion, transformations (e.g., dbt), ML features, and downstream applications
- Establish standards for orchestration, CI/CD, code quality, documentation, and reproducibility across platform and data repos
- Set and enforce SLOs for reliability, latency, and data freshness; implement guardrails and automated quality checks
- Drive cost-aware design and performance tuning for batch and streaming workloads
- Translate the roadmap into scoped work with crisp acceptance criteria, success metrics, and rollout plans
- Prioritize, sequence, and unblock; ship iteratively with progressive delivery and clear rollback paths
- Coordinate cross-team dependencies (Product, ML, Integrations) to keep the value stream flowing end-to-end
- Build and operate a pragmatic observability stack (logs, metrics, tracing, data quality monitors) with trusted alerting
- Partner with Integrations on PMS/booking-engine data flows; design resilient interfaces and backfills
- Shape the team (platform engineers, data engineers, integrations engineers); partner with recruiting; run a structured loop
- Document engineering standards, runbooks, READMEs, and data lineage; promote a docs-as-code culture
- Provide weekly progress, risks, and asks to the CTO; share monthly demos/notes with broader stakeholders
- Player–coach role reporting to the CTO and collaborating closely with Product, ML, and Customer Success
Requirements
- 6+ years building and operating production platforms and data systems in B2B SaaS
- 2+ years leading engineers
- Strong technical depth in several of: Python, SQL, orchestration (e.g., Prefect/Airflow), ELT (e.g., dbt), cloud data warehouses (e.g., Snowflake/BigQuery), event streaming (e.g., Kafka/Kinesis), containerization and service orchestration (e.g., Docker, ECS/Kubernetes), infra-as-code (e.g., Terraform)
- Proven track record setting engineering standards (CI/CD, code review, trunk-based dev, testing strategy) and delivering reliable, observable systems at reasonable cost
- Experience defining and meeting SLOs; comfortable with incident management and continuous improvement
- Comfortable partnering on third-party integrations; design resilient interfaces and plan for schema drift and backfills
- Clear, concise communicator who can simplify complexity, make trade-offs explicit, and align teams
- Start-up mindset: bias for action, comfort with ambiguity, and willingness to be both strategic and hands-on
- This role is remote.
- Travel may be needed for customer discovery, team building, and/or networking.
- Flexibility is key; we value in-person connections.
- We empower our team to innovate, grow, and succeed.
- Mission-driven work empowering independent inns and small hotels.
- Allocate learning time/budget (professional development)
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonSQLorchestrationELTcloud data warehousesevent streamingcontainerizationservice orchestrationinfra-as-codeCI/CD
Soft skills
leadershipcommunicationproblem-solvingcollaborationstrategic thinkingadaptabilitydocumentationproject managementcritical thinkingteam building