or Data Platform Engineer - Data Infrastructure

Описание:

Streaming TV is no longer just a brand awareness channel. It’s becoming a core part of the performance marketing mix, alongside search and social. Vibe.co is building the platform that makes TV work like the rest of the acquisition stack: targeted, measurable, and optimized for results. Vibe.co is an Audience First Streaming TV Advertising platform that gives marketers the tools to reach the right audiences, optimize campaigns in real time, and understand what’s actually driving business outcomes. With hyper-targeted segmentation, AI-powered recommendations, real-time optimization, and incrementality measurement, Vibe brings the precision and accountability of digital advertising to the biggest screen in the house. Today, more than 12,000 brands use Vibe.co to reach 120 million+ households. And in August2026, Vibe.co became a Walmart company, opening up a new chapter for the business and the industry. With Walmart’s first-party data and purchase signals now part of the Vibe platform, advertisers can connect TV advertising to real-world transactions and measure the impact of CTV with a level of precision previously associated with platforms like Google and Meta. This is a unique moment to join Vibe. With Walmart’s scale, data, and reach behind us, we’re building the next generation of TV advertising and creating a more measurable, performance-driven future for the channel. You'll join the Data team, the backbone behind every data-driven decision at Vibe, from internal operations to the reporting advertisers check every day. The team runs three interlocking stacks: a batch platform that feeds Product, Sales, Finance, and ML; a real-time streaming layer that powers spend tracking and retargeting; and a reporting stack built on ClickHouse Cloud and Cube that serves sub-second analytics through Vibe’s Clear platform. This role exists because bid, win, and impression volumes are growing as fast as the business, and the platform needs an owner who can turn that scale into reliable, cost-efficient infrastructure rather than a growing pile of incidents. You'll get end-to-end ownership of systems the business can't run without, direct influence over the tools every data, ML, and analytics engineer at Vibe uses daily, and a mandate to treat performance and cost as core engineering problems, not afterthoughts.

Задачи:

• Platform & Services Ownership Design and operate real-time event processing on Kafka at production scale
• Build and run batch orchestration pipelines on Dagster
• Own the serving path into ClickHouse Cloud from ingestion through query
• Drive projects end-to-end from stakeholder requirements through post-launch iteration
• Set architecture decisions on partitioning, materialization, retention, and compute sizing
• Developer Enablement & Tooling Build orchestration patterns and testing frameworks the whole team relies on
• Establish CI/CD and data contracts that reduce manual review overhead Turn recurring one-off fixes into reusable, documented building blocks Design self-serve infrastructure that teams adopt without being told to
• Reliability & Operational Excellence Build alerting and dashboards that catch issues before users feel them Set SLOs that reflect real business risk, not vanity metrics Lead incident response during on-call rotations Write runbooks and automation that shorten and reduce pages Anticipate scaling limits before bid/win log growth turns them into incidents
• Performance & Cost Optimization Profile and optimize services across Kafka, Spark, DuckDB, and ClickHouse Treat compute and storage spend as a first-class engineering metric Lead cost reviews on the platform's most expensive systems Instrument the platform to catch cost regressions early
• Cross-Team Partnership Translate ambiguous requests from data, ML, and product engineers into concrete deliverables Push back on requests that aren't ready or aren't the right approach Influence upstream teams on schema, semantics, and SLAs Brief senior stakeholders on tradeoffs and decisions, not implementation detail

Требования:

• 5+ years building and operating distributed, data-intensive systems in production
• Strong programming skills in Python and/or Rust, with real testing and code review discipline
• Production experience with several of: Kafka, Spark, Iceberg or object storage, ClickHouse or similar column-store analytics
• Experience owning services from code to production, including AWS, Kubernetes, and infrastructure-as-code
• A track record of measurably improving performance or cost on specific systems, and the ability to explain whyStrong cross-functional communication, including the judgment to push back on stakeholders with conflicting priorities
• Experience in programmatic or streaming TV advertising

Наши ценности:

At Vibe, we run on three values: Impact, Ambition, and Urgency. We tie every goal to a real business outcome, think 10x rather than settling for good enough, and move daily rather than waiting for perfect conditions. You'll thrive here if you own outcomes without needing direction, default to action, and hold yourself to results, not effort. This is a high-performance environment with high-performance rewards: you'll work alongside people who push you, with real ownership over hard problems in a market that's moving fast. If that sounds like the best version of your career, we want to meet you.

Условия:

The pay range for this role is €99,000 - €171,000. We will support relocation to Paris for great candidates.

• Equity — Employee Stock Ownership Plan.
• Variable pay — Based on real Vibe business goals.
• Hybrid flexibility — We're in the Heart of Paris and our team is in 3x a week!
• Health insurance — Full coverage via Alan.
• Meal vouchers — Via Swile.
• Annual offsite — The whole team, once a year, somewhere worth the trip.
• Tech Syncs — Engineering and Product meet in person at least quarterly, worldwide.

Our Interview Process

We respect your time. Here's exactly what to expect — no surprises, no ghosting.

• Recruiter screen — 30 min. We'll share context; you'll share yours.
• Manager interview — Meet the person you'd work with directly.
• Technical Interview — A real problem, not a trick. We'll work through it together.
• Calibration interview — A senior leader joins to ensure we're holding a consistent, high bar.
• Offer — Fast. We don't let good decisions sit.
• Reference checks — Two calls, handled with discretion.