Senior Data Platform Architect – Palantir Foundry, Databricks Integration

Job not on LinkedIn

🔥 0 minutes ago

💃 Latin America – Remote

💵 $6k - $7k / month

⏰ Full Time

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 3%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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GoFasti

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

GoFasti is a company specializing in connecting businesses with top-tier talent from Latin America for remote work. They offer a comprehensive service that includes sourcing, vetting, and managing hiring processes for roles such as developers, designers, engineers, medical billers, and social media managers. GoFasti emphasizes forming dedicated remote teams to help companies reduce labor costs and eliminate hiring hassles, while ensuring compliance with Latin American tax and labor laws. They promise quick candidate matching, with a focus on seamless integration into client workflows.

📋 Description

• Design and implement enterprise-scale federated architectures integrating Palantir Foundry and Databricks • Establish standards for data sharing across Foundry, Databricks, BigQuery, and Cloud Storage environments • Define architecture patterns leveraging Delta Lake, Apache Iceberg, Unity Catalog, Foundry Ontology, Virtual Tables, and Catalog Federation • Lead modernization of legacy ETL architectures toward metadata-driven, cloud-native data products • Define enterprise data governance, lineage, metadata, and ownership models across both platforms • Create architectural roadmaps supporting AI, machine learning, real-time analytics, and self-service data consumption • Design and implement Foundry Databricks Connector solutions, including bulk imports, incremental data synchronization, virtual tables, compute pushdown, and external model integrations • Build scalable ingestion, transformation, and enrichment pipelines using PySpark, Spark SQL, Python, Databricks Workflows, Airflow, and Foundry Code Repositories • Architect secure connectivity between Palantir Foundry, Databricks, Google Cloud Platform, BigQuery, Cloud Storage, and Enterprise APIs • Enable AI and machine learning workloads across Foundry and Databricks environments • Serve as the technical authority for enterprise data platform architecture and lead architecture reviews

🎯 Requirements

• English-fluent • Based in Latin America • 10+ years of experience in Data Engineering, Data Architecture, or Platform Engineering • 5+ years of experience with Databricks Lakehouse Architecture • Experience implementing or operating Palantir Foundry data platforms • Deep expertise in Databricks, PySpark, Spark SQL, Delta Lake, Python, and Data Modeling • Strong knowledge of Unity Catalog, Apache Iceberg, Lakehouse Architectures, Data Governance, and Metadata Management • Hands-on experience with Google Cloud Platform, including BigQuery, Cloud Storage, Pub/Sub, IAM, and Networking • Experience designing highly scalable distributed data systems • Strong architecture, leadership, and stakeholder management skills • Palantir Foundry certification or implementation experience is a plus • Experience with Ontology development and operational decision platforms is a plus • Experience with AI/ML infrastructure and model deployment is a plus • Familiarity with Terraform, Kubernetes, GitHub Actions, and CI/CD Pipelines is a plus • Experience with survey, consumer intelligence, marketing, or ad-tech data platforms is a plus • Experience supporting data products at Fortune 500 scale is a plus

🏖️ Benefits

• Remote work • Full-time contract through a payroll platform