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Data Platform Manager
LocalStack. Build and evolve a self-service data platform for Product, Engineering, and GTM teams .
Posted 11/2/2026full-timeRemote • United Kingdom, Poland, Spain, PortugalMid-LevelSenior💰 €110 - €140 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive hands-on experience in data engineering and analytics, with a strong focus on building data pipelines and ensuring data quality standards. Capable of managing a data team and establishing effective processes for data access and usage across various teams.
Highest-signal resume keywords
Data Engineering ExperiencePython ProgrammingSQL ProficiencyReal-Time Analytics ToolsAI-Assisted Coding Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentData Quality StandardsMetrics DefinitionData ModelingPerformance Management
Soft Skills
Team DevelopmentFeedback ManagementDocumentation Skills
Tools & Technologies
SnowflakeTinybirdClickHouse
Industry Keywords
Data PlatformGTM Data SupportSLA/SLO MonitoringPII Exposure ManagementOKR Management
Tech Stack
Tools & technologiesPythonSnowflakeSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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)