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Data & ML Platform Engineer
Homebase (YC W21)Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and managing CDC and streaming pipelines using Kafka, Spark, and Delta, while ensuring system reliability and performance through effective collaboration with data engineering and data science teams. Proficient in implementing CI/CD practices and infrastructure-as-code methodologies, with a strong focus on ownership and accountability.
Highest-signal resume keywords
Kafka Streaming ExperienceSpark and Delta ProficiencyPython and SQL SkillsInfrastructure-as-Code with TerraformContainer Infrastructure Experience
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Build and run CDC and streaming pipelines using Kafka, Debezium, Spark Streaming, and Delta
- Own replay, restream, and ingestion SLAs
- Manage Databricks, Unity Catalog, warehouses, and Terraform
- Implement CI/CD and DAB deployments for data infrastructure
- Build gRPC services and move batch workloads to real-time inference
- Make LLM latency and cost visible
- Evolve the feature store and MLflow practice
- Partner with data science to take proofs of concept to production
- Use AI-assisted tools to build, test, and operate systems
- Collaborate with data engineering, data science, and product engineering
- Participate in the on-call rotation and improve system reliability
Requirements
What you’ll need- Production experience with distributed streaming systems, including Kafka and CDC
- Hands-on Spark and Delta experience
- Strong Python and SQL skills
- Experience with container infrastructure such as Docker, ECS, or Kubernetes
- Infrastructure-as-code experience, ideally Terraform
- Solid data modeling fundamentals
- Comfort being part of an on-call schedule
- Experience experimenting with AI tools in an engineering workflow and sharing learnings
- Comfort moving quickly through ambiguity with clear communication across technical and non-technical teams
- Ownership mindset and accountability for systems built
- Ability to collaborate in person at the Toronto hub every Tuesday and Wednesday
- Bonus: Unity Catalog governance
- Bonus: MLflow and feature stores
- Bonus: LLM-serving experience
- Bonus: Protobuf event contracts
- Bonus: Postgres internals
Benefits
Comp & perks- Stock options
- TFSA/RRSP with 4% company match
- Comprehensive medical, dental, and vision coverage for you and your dependents
- Flexible PTO
- Company holidays
- Designated focus periods
- Access to paid AI tools with minimal restrictions
- Maternity/Parental Leave EI top-up support after 6 months of service
- Work From Anywhere Month
- Meeting-free weeks yearly
- Life insurance
- Short- and long-term disability coverage
- Meals provided
- Team offsites
- Customer Days
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Distributed Streaming SystemsData Modeling FundamentalsGRPC Services DevelopmentCI/CD ImplementationBatch to Real-Time Workload MigrationAI Tools ExperimentationMLflow PracticeFeature Store EvolutionProtobuf Event ContractsPostgres Internals
Soft Skills
Clear CommunicationOwnership MindsetCollaboration in Ambiguity
Tools & Technologies
DatabricksUnity CatalogTerraformDockerECSKubernetes
Industry Keywords
On-Call RotationSystem ReliabilityData Infrastructure