Micro1
Brazil
Senior PostgreSQL Database Reliability Engineer (Remote)
- AI
- Ai Tools
- Artificial Intelligence
- AWS
AI Summary
Staff-level, hands-on engineering role responsible for building the company's data platform from zero — including the data warehouse, ingestion pipelines, transformations, and product analytics foundations. You will design agent-ready datasets and interfaces so AI agents can safely discover, query, and use trustworthy data alongside human teams. The role combines architecture, data quality governance, self-service analytics enablement, and mentoring engineers in a fast-moving AI-native environment.
Key Highlights
Staff-level hands-on role building the data platform from zero — data warehouse, ETL/ELT pipelines, and core data models
Design agent-ready datasets and interfaces so AI agents can safely discover, query, and use data
Proficiency in SQL and Python required; experience with modern cloud data warehouses and orchestration tools expected
Key Responsibilities
Architect and implement internal data warehouse, ingestion infrastructure, ETL/ELT pipelines, and core data models
Design reliable, well-documented datasets and interfaces that AI agents can safely discover, query, and use
Transform fragmented operational and product data into consistent, high-quality sources of truth
Build infrastructure enabling self-service analytics across engineering, product, and business teams
Establish event tracking, instrumentation, data models, and reporting for product analytics
Leverage AI coding agents and intelligent automation for pipeline development, validation, documentation, monitoring, and troubleshooting
Establish data quality standards, observability, governance, and scalable architectural patterns
Mentor engineers, establish data engineering practices, and lead architectural decisions
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Technical Skills Required
Benefits & Perks
Up to 100% reimbursement for health-insurance premiums
Paid time off
401(K) plan with company match
Equity compensation
Performance-based bonuses
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Nice to Have
Founding or early Data Engineer experience building a company's first real data platform
Designed data systems supporting both traditional analytics and AI-powered applications or autonomous agents
Experience building semantic layers, data discovery systems, or structured interfaces for AI
Automated substantial portions of data pipeline development, validation, or maintenance using AI agents
Comfortable moving between data architecture, production pipelines, analytical modeling, and hands-on debugging
Job Description
The Role
This is a Staff-level, hands-on engineering role for someone has built data infrastructure from zero to production and knows how to turn fragmented operational data into reliable, accessible, and actionable systems.
You'll own the architecture and implementation of our data warehouse, ingestion pipelines, transformations, and product analytics foundations.
We're building an AI-native organization where both humans and autonomous agents need access to trustworthy, well-structured data. You'll design the systems that make this possible, enabling self-service analytics, automated decision-making, and increasingly intelligent workflows across the company.
What You'll Do
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