Описание
Brainlabs is an independent, founder-led media agency that combines people and AI agents to maximize client revenue through a scientific approach to media. It operates globally with more than 1000 employees and serves the world's biggest brands.
Задачи
•Build and maintain integrations that move operating system data into the data warehouse
•Push data warehouse data back into operating systems to create complete workflows and data lifecycles
•Debug data discrepancies across source systems and downstream tools, identify their causes, and automate solutions to prevent recurring issues
•Own HubSpot or a comparable CRM as a system of record, including properties, associations, lifecycle stages, automation, data quality, deduplication, and governance at scale
•Work closely with finance, operations, and other business support teams, translating technical decisions into actionable terms for non-technical stakeholders
•Ensure data moves between systems reliably and accurately at scale
•Keep systems clean at scale as volume grows
•Catch and fix data discrepancies at the source
•Deliver trusted numbers for finance, operations, and other business teams
•Ship new integrations and automations with documentation and clear guidance
•Balance rapid delivery with long-term architecture and explain trade-offs to non-technical stakeholders in plain terms
Требования
•Deep experience managing data structures such as objects, properties, associations, lifecycle stages, and automation
•Strong data quality and governance practices, including deduplication, enrichment, validation, access controls, and auditability
•Ability to turn a non-technical brief into a complete plan and build it
•Ability to explain technical solutions to non-technical stakeholders without jargon
•Experience working in fast-moving rollouts while balancing speed with long-term architecture
•Experience building sync logic using canonical IDs, upserts, change detection, and idempotent reruns
•Experience building ETL/ELT pipelines that avoid duplicating or corrupting data across repeated runs
•Experience integrating data into BigQuery, Snowflake, or similar warehouses through API-based integrations, including reverse ETL into business systems
•Strong Python or similar programming language and SQL skills for automation, data movement, transformation, and validation
•Confidence with REST APIs, including authentication, pagination, rate limits, retries, and error handling
•Experience with GCP tooling such as Cloud Run, Cloud Scheduler, Secret Manager, BigQuery, and GitHub Actions
•Ability to debug data discrepancies across source systems and downstream tools
•Good version control hygiene with GitHub or similar
Условия
•Office-centric culture with around 3 days per week in the office expected for the majority of roles
•Equal opportunity workplace with support for accommodation during the application process
