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1178 - Sr. Data Architect

GoFasti · Worldwide · Contract · Remote

We Make Remote Work Remarkable • TopTalent from LatAm

Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.

We need an English-fluent Senior Sr. Data Architect, based in Latin America, available to work remotely.

We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.
Are you the one we are looking for?
Responsibilities:

• Design and own the end-to-end lakehouse architecture on Databricks, using Medallion (bronze/silver/gold) patterns.

• Build and optimize scalable batch and streaming pipelines in PySpark, Spark SQL and Python.

• Lead platform migrations (e.g., legacy data warehouse or Hadoop/EMR to Databricks) with measurable gains in cost and run time.

• Define data governance: Unity Catalog, fine-grained access control, auditing, lineage and compliance (GDPR and similar).

• Model data for analytics and operations (OLTP/OLAP, dimensional, SQL and NoSQL).

• Set engineering standards: CI/CD, unit and integration tests, code review, reusable Python packages, Databricks Asset Bundles.

• Manage infrastructure as code with Terraform and drive FinOps practices to control cloud spend.

• Evaluate and prototype AI use cases on the platform (LLMs, vector databases, agents, MLflow).

• Advise other teams on architecture and mentor junior and mid-level engineers.

Requirements:

• 10+ years in data engineering, including 5+ years hands-on with Databricks and Spark in production.

• Strong Python and PySpark; working knowledge of Scala and advanced SQL.

• Proven record designing data lakes, data warehouses and lakehouses, including at least one large migration you led.

• Production experience on at least one major cloud (AWS, Azure or GCP).

• Hands-on data

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