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GoFasti

Senior Data Platform Architect – Palantir Foundry, Databricks Integration

GoFasti

. Design and implement enterprise-scale federated architectures integrating Palantir Foundry and Databricks .

Posted 9/21/2026full-timeRemoteSenior💰 $6,000 - $7,000 per monthWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and implementing enterprise-scale federated architectures, particularly with Palantir Foundry and Databricks. Proficient in data governance, metadata management, and building scalable data pipelines using modern cloud technologies.

Highest-signal resume keywords
Data EngineeringDatabricks Lakehouse ArchitecturePalantir Foundry ImplementationPySparkData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data ArchitectureDelta LakeSpark SQLPythonData ModelingAI/ML InfrastructureMetadata ManagementDistributed Data SystemsCloud-Native Data ProductsETL Modernization
Soft Skills
LeadershipStakeholder ManagementArchitecture Review
Tools & Technologies
Google Cloud PlatformBigQueryCloud StoragePalantir FoundryDatabricksTerraformKubernetesGitHub ActionsCI/CD PipelinesAirflow
Certifications & Qualifications
Palantir Foundry Certification
Industry Keywords
Federated ArchitecturesData GovernanceMetadata ManagementAIMachine LearningReal-Time AnalyticsConsumer IntelligenceMarketing Data PlatformsAd-Tech Data PlatformsFortune 500 Scale

Tech Stack

Tools & technologies
AirflowApacheBigQueryCloudETLGoogle Cloud PlatformKubernetesPySparkPythonSparkSQLTerraformUnity

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • Remote work
  • Full-time contract through a payroll platform