Data Platform Manager

LocalStack

5d • Remote

About The Position

LocalStack is hiring a Data Platform Manager to build and evolve a self-service data platform for Product, Engineering, and GTM teams. The role combines hands-on data work with ownership of data standards, support, planning, and team leadership.

The manager will establish reliable data quality practices and canonical data models, oversee data access and potential PII exposure, and develop consistent metric definitions across priority domains. They will also lead the data team's planning and delivery processes, set quarterly data OKRs, prioritize a roadmap based on business needs, and measure its impact and efficiency. The position includes directly managing and developing the Data team through regular one-to-ones, feedback, performance management, and hiring.

Requirements

• At least 6 years of hands-on data experience across data engineering and analytics.
• Comfort building data pipelines.
• Experience with Python and SQL.
• Experience with Snowflake or an equivalent platform.
• Experience with real-time analytics tools such as Tinybird, ClickHouse, or similar.
• Day-to-day familiarity with AI-assisted coding tools.
• Experience building reusable datasets, documentation, or a metrics/BI layer that non-data teams adopted and used without help.

Responsibilities

• 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 and manage data access appropriately.
• Identify and address potential exposure of personally identifiable information (PII).
• Establish canonical data models, consistent metric definitions, and modelling standards across priority domains.
• Establish effective planning and delivery processes, documentation, and ways of working, including use of AI tools.
• Own quarterly data OKRs and prioritize a balanced roadmap covering business needs.
• Measure success through business impact and improved efficiency.
• Directly manage and develop the Data team through regular one-to-ones, feedback, performance management, and hiring.

Benefits

• Fully remote work.
• Competitive salary.
• Annual company retreat.
• Two extra company-wide holidays.
• Friendly and inclusive workplace culture, including community guilds and online company events.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed