Data Platform Manager

Job not on LinkedIn

🔥 0 minutes ago

🌐 United Kingdom, Poland, +2 more countries – Remote

🇬🇧 United Kingdom – Remote 🇵🇱 Poland – Remote 🇪🇸 Spain – Remote 🇵🇹 Portugal – Remote

💵 €110 - €140 / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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LocalStack

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🤝 B2B

🔌 API

💰 $25M Series A - LocalStack on 2024-11

SaaS • B2B • API

LocalStack is a local cloud development platform that simulates cloud environments on a customer's own infrastructure so software teams and AI agents can develop, test, debug, and validate cloud applications without provisioning real cloud resources. It runs as lightweight containerized emulators that expose the same APIs, SDKs, and Infrastructure-as-Code interfaces (CDK, Terraform, Pulumi) used in production, with support for 120+ AWS services and emulators for Snowflake (and Azure coming soon). LocalStack is designed to speed feedback loops, reduce cloud costs, surface security risks and bugs earlier, and enable AI-native development workflows. It is used by thousands of organizations and has scaled to hundreds of millions of Docker pulls.

📋 Description

• Build and evolve a self-service data platform for Product, Engineering, and GTM teams • Define and maintain data quality standards, SLAs/SLOs, monitoring, and incident-response processes • Own GTM-facing data support • Manage data access appropriately and identify and address potential PII exposure • Establish canonical data models, consistent metric definitions, and modelling standards across priority domains • Establish planning, delivery processes, documentation, and ways of working, including AI tools • Own quarterly data OKRs and prioritise a balanced roadmap, measuring business impact and improved efficiency • Directly manage and develop the Data team through one-to-ones, feedback, performance management, and hiring

🎯 Requirements

• Hands-on data experience (6+ years) across data engineering and analytics, comfortable building pipelines • Experience with Python, SQL, Snowflake or equivalent • Experience with real-time analytics (Tinybird, ClickHouse, or similar) • Experience using AI-assisted coding tools day to day • Experience building reusable datasets, documentation, or a metrics / BI layer that non-data teams adopted and used without help

🏖️ Benefits

• Competitive salary • Equity • Bonus • Fully remote • Annual company retreat • 2 extra company-wide holidays • Friendly and inclusive workplace culture (community guilds and online company events)

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