Senior Data Platform Engineer
New
J
JobgetherFinancial technology
Based in CanadaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least 5 years of experience in data infrastructure, platform engineering, or software engineering
- Required Skills
- PythonSQLKubernetesDistributed Systems
Requirements
- At least 5 years of experience in data infrastructure, platform engineering, or software engineering.
- Demonstrated end-to-end ownership of production systems.
- Strong proficiency in Python and SQL.
- Experience developing reliable data pipelines, services, and platform tooling.
- Hands-on experience building or operating distributed data systems, including query engines, lakehouse architectures, or streaming platforms.
- Experience managing cloud infrastructure using Kubernetes, infrastructure-as-code, and automated deployment processes.
- Strong understanding of distributed systems, data processing architectures, and production infrastructure reliability.
- Sound operational judgment and ability to troubleshoot complex technical challenges.
- Ability to work independently, manage multiple initiatives, and take responsibility for projects from design through production.
- Nice to have: experience with Trino, Presto, Spark, or Apache Iceberg.
- Nice to have: familiarity with Kafka, Redpanda, Flink, or Debezium.
Responsibilities
- Design, develop, and operate core data platform infrastructure, including distributed query engines, lakehouse storage, orchestration systems, and streaming pipelines.
- Build repeatable infrastructure for regional platform deployments using Kubernetes and infrastructure-as-code practices.
- Develop real-time data processing, analytics, and alerting capabilities.
- Collaborate with AI and Data Science teams on platform foundations for agentic workflows, model evaluations, and machine learning lifecycle tooling.
- Improve data cataloging, governance frameworks, and access controls.
- Own platform reliability through observability, on-call participation, incident response, and continuous operational improvements.
- Work with cross-functional engineering teams to identify technical challenges and deliver platform solutions.
- Drive improvements in platform architecture, deployment automation, performance, and operational efficiency.
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