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You will design and build a multi-source data platform to handle ingestion, event-driven processing, and orchestrated batch workflows. The role involves managing the platform end-to-end, from architecture and ingestion to production operations and data quality monitoring.
Join a data and infrastructure team building a platform that turns information from multiple sources into reliable, up-to-date company intelligence. You will own the platform end-to-end, from architecture and ingestion to production operations, helping provide trusted data for downstream products.
Design and build a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows.
Ingest data from APIs, webhooks, files, and web scraping, with rate limits and robust failure handling.
Orchestrate scheduled workflows and historical backfills using tools such as Airflow, Dagster, or Prefect.
Build messaging and task queue workflows with retries, dead-letter queues, and controlled replay.
Store original payloads in cloud object storage and transform data with dbt into raw, standardized, and curated layers.
Implement idempotent upserts, data contracts, automated validation, pipeline tests, and monitoring for freshness and failures.
Design and optimize PostgreSQL schemas and loading patterns, and integrate enrichment and LLM-based structured extraction.
At least 5 years building and operating production data platforms, with ownership from architecture through deployment and ongoing operations.
Production experience with Google Cloud Platform, dbt, and workflow orchestration tools such as Airflow, Dagster, Prefect, or Temporal.
Strong Python skills, including asynchronous HTTP and concurrent processing with asyncio, aiohttp, or HTTPX.
Strong SQL and PostgreSQL skills, including data modeling, query optimization, and incremental loading.
Experience with event-driven systems, messaging or task queues, asynchronous processing, and failure recovery.
Experience with data contracts, raw and curated storage, retention policies, automated testing, and data quality monitoring.
Startup or small-team experience is valuable. Web scraping, entity resolution, data enrichment, and LLM-based extraction are also useful.
Base salary: $80,000 to $120,000 USD annually. Visa sponsorship is not available.
Remote, based in Latin America.
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