Staff Full - Stack Engineer owns end - to - end features implementation at Cloudera. Joining the agile operational unit designed to tackle vital strategic initiatives for data transformation.
About the role
- Staff Engineer for Data at Ovoko, building data platform capabilities for scaling analytics and product development in the used car parts market.
Responsibilities
- Own and evolve core parts of the Data Platform, covering batch and streaming ingestion, processing, and delivery across product and analytics use cases.
- Drive architectural decisions for a modern, vendor-agnostic Data Platform, clearly separating ingestion, storage, compute, and serving layers.
- Act as a technical partner across teams (product, infrastructure, analytics), shaping scalable data and platform practices company-wide.
- Solve complex, cross-domain challenges at the intersection of software engineering, infrastructure, and data systems.
- Define and maintain platform-wide standards and guardrails (observability, data quality, schema evolution, metadata, access control).
- Act as a technical authority for high-impact platform and data decisions beyond a single team’s scope.
- Balance long-term platform strategy with short-term product and business needs through pragmatic trade-offs.
Requirements
- Strong hands-on experience building and operating large-scale data platforms, with solid data engineering fundamentals and real-world scalability experience.
- Hands-on experience running production-grade streaming systems (Kafka, Flink, Spark Streaming), including capacity planning, partitioning, and incident response.
- Experience designing and operating distributed services as part of a data platform, applying strong software engineering practices beyond data pipelines.
- Hands-on experience operating data platform infrastructure across Kubernetes (on-prem) and cloud environments (AWS, GCP, Snowflake), with a strong automation mindset.
- Experience owning ML workloads (feature store, model (re)training, model deployment, ML Ops, and monitoring) across batch and streaming systems.
Benefits
- Learning budget for your personal and professional growth
- Private health insurance
- Employee stock option plan
- Work from anywhere in the world for up to 30 days per year
- Close collaboration with ambitious colleagues & a real opportunity to shape the “big picture”
- Top-notch hardware and software (MacOS or Windows to choose from)
- Flexible working hours & remote work opportunities
- Pet-friendly office with collaborative spaces, chill zones, our own gym & a kitchen full of snacks and drinks
Job title
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Experience level
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Degree requirement
No Education Requirement
Tech skills
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