Simple Machines
Information Technology and Services
PrincipalDataEngineer
“Principal Data Engineer at Simple Machines. Skills: Data Engineering, AI, Databricks, Snowflake, AWS, GCP, Spark. technical direction. platform design”
What You'll Achieve.
deliver real outcomes; move the needle; engineer data to life™; consumer-oriented data access; perform in production; deliver real outcomes
Industry & Context.
solving hard data problems; pragmatic engineering decisions
What They're Looking For.
Must Have
Python, SQL, Spark, Databricks, Snowflake, AWS, GCP, Infrastructure-as-code, CI/CD pipelines, Data testing and quality frameworks
Nice to Have
PhD, Terraform, Pulumi, GitHub Actions, ArgoCD, Great Expectations, Soda
What You'll Do.
architectural decision-making
design and build greenfield data platforms
end-to-end architecture of modern
cloud-native data platforms
scalable data ecosystems
architectural decisions across ingestion
and production-grade platforms
cloud-native data platforms
integrate deeply with client systems
build and optimise batch and real-time pipelines
work with streaming and event-driven tech
orchestrate workflows
process and transform large datasets
design systems that perform in production
work across relational
and analytical stores
optimise storage formats and access patterns
compliant data solutions
understand problems and shape solutions
translate business needs into pragmatic engineering decisions
set engineering standards
review designs and code
raise the bar on data quality
and operational excellence
How You'll Work.
Team & Collaboration
work in small, high-calibre teams; operate close to both the problem and the client; set engineering standards, patterns, and best practices across teams; review designs and code, providing clear technical direction and mentorship
Communication Scope
consult clients; understand problems; shape solutions; translate business needs; act as a trusted technical advisor; mentoring senior engineers; influencing technical culture
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