Data Architect - Remote

Overview

MinIO is the leader in high-performance, hyper-scale object storage. The company’s commercial offering, AIStor, is built for the exascale data infrastructure challenges presented by modern AI workloads. Designed for mission-critical, production workloads, MinIO is deployed by 77% of the F100 and powers many of the largest private cloud AI deployments in the world. We are looking for a Data Architect.

In Short

• Architect and evolve our end-to-end data platform, enabling analytics and operational workflows on top of our object storage system using tools like Fivetran, dbt, and BigQuery.
• Design scalable, performant data models and schema strategies optimized for cloud-native execution in BigQuery, supporting high-throughput ingestion and transformation pipelines.
• Own and extend our ingestion layer, including the configuration of Fivetran connectors and development of custom connectors to integrate data from proprietary systems.
• Define and enforce dbt project standards including staging, transformation, and mart layers to ensure modularity, test coverage, and data lineage clarity across teams.
• Drive observability, governance, and trust in our data ecosystem by implementing validation frameworks, documenting metadata, and integrating with modern BI tools like Looker.
• Collaborate closely with engineering teams to align data infrastructure decisions with application behavior — ensuring performance, partitioning, and access patterns are tightly coupled to business-critical workloads.
• Lead with a platform mindset, setting scalable architectural patterns, defining SLAs, and mentoring engineers to embed data best practices across the stack.

Requirements

• Deep experience designing and operating modern, cloud-native data platforms on Google Cloud Platform, with a focus on BigQuery performance, partitioning, and cost optimization.
• Proficient with Fivetran, including setup of managed connectors and building custom connectors using the Fivetran Connector SDK and Python.
• Advanced user of dbt, including model structure, testing, documentation, and deployment workflows across multiple environments.
• Strong SQL skills, capable of writing efficient, scalable queries and transformations over large datasets.
• Comfortable with Python scripting for pipeline development, automation, and integration with APIs.
• Skilled in implementing data governance and observability frameworks, including data validation, SLA monitoring, and access control.
• Familiar with Git-based workflows and CI/CD pipelines for testing and deploying data models and ingestion logic.
• Background in distributed systems and object storage, with the ability to optimize for performance and consistency at scale.
• Effective cross-functional collaborator and mentor, able to align architecture with business goals and raise the data maturity of the organization.

Benefits

• Health Care Plan (Medical, Dental & Vision)
• 401K with 3% Match
• Pre-IPO Stock Options
• At least 12 Public Holidays
• Flexible Time Off