Remote opportunity at
GoFasti1150 - Senior Data Platform Architect - Palantir Foundry & Databricks Integration
GoFasti, operating as a Talent-as-a-Service provider connecting global enterprises with professionals based in Latin America, seeks a remote Senior Data Platform Architect - Palantir Foundry &…
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About This Role
GoFasti, operating as a Talent-as-a-Service provider connecting global enterprises with professionals based in Latin America, seeks a remote Senior Data Platform Architect - Palantir Foundry & Databricks Integration . This full-time contract role places the selected professional on assignment with a client. The position suits an experienced architect capable of serving as the technical authority for enterprise data platforms. The work involves creating federated architectures, establishing data sharing standards, and…
Job Description
GoFasti, operating as a Talent-as-a-Service provider connecting global enterprises with professionals based in Latin America, seeks a remote Senior Data Platform Architect - Palantir Foundry & Databricks Integration. This full-time contract role places the selected professional on assignment with a client.
The position suits an experienced architect capable of serving as the technical authority for enterprise data platforms. The work involves creating federated architectures, establishing data sharing standards, and directing the modernization of traditional ETL systems into metadata-driven, cloud-native products. Professionals in this role will build secure connections across platforms, support artificial intelligence and machine learning workloads, and lead architecture reviews.
Ideal candidates demonstrate exceptional communication abilities, strong stakeholder management skills, and comfort with change combined with high attention to detail. Applicants must reside in Latin America, possess fluent English communication skills, and maintain a proactive approach to continuous learning.
Responsibilities
- Design and implement federated architectures at enterprise scale that integrate Palantir Foundry and Databricks.
- Establish standards for sharing data across Databricks, Foundry, Cloud Storage, and BigQuery environments.
- Define architectural patterns using Unity Catalog, Delta Lake, Apache Iceberg, Virtual Tables, Foundry Ontology, and Catalog Federation.
- Lead the transition of legacy ETL setups into metadata-driven and cloud-native data products.
- Establish models for enterprise data ownership, governance, metadata, and lineage across both platforms.
- Develop architectural roadmaps to support self-service data consumption, real-time analytics, machine learning, and AI.
- Create Foundry Databricks Connector solutions handling incremental synchronization, bulk imports, external model integrations, compute pushdown, and virtual tables.
- Construct scalable enrichment, transformation, and ingestion pipelines utilizing Python, PySpark, Spark SQL, Airflow, Databricks Workflows, and Foundry Code Repositories.
- Architect secure connections linking Databricks, Palantir Foundry, Google Cloud Platform, BigQuery, Cloud Storage, and Enterprise APIs.
- Enable machine learning and artificial intelligence workloads across Databricks and Foundry environments.
- Act as the technical authority for enterprise data platform architecture and conduct architecture reviews.
Requirements
- At least 8 years of professional background in Platform Engineering, Data Architecture, or Data Engineering.
- Minimum 8 years of experience working with Databricks Lakehouse Architecture.
- Demonstrated experience operating or implementing Palantir Foundry data platforms.
- Deep expertise in Data Modeling, Python, PySpark, Spark SQL, and Delta Lake.
- Thorough knowledge of Lakehouse Architectures, Unity Catalog, Apache Iceberg, Metadata Management, and Data Governance.
- Practical experience using Google Cloud Platform tools such as IAM, Networking, BigQuery, Cloud Storage, and Pub/Sub.
- Experience in designing distributed data systems with high scalability.
- Robust leadership, architecture, and stakeholder management competencies.
- Based in Latin America with fluency in English and full-time remote availability.
Qualifications
- Palantir Foundry implementation experience or official certification.
- Background in operational decision platforms and Ontology development.
- Experience with model deployment and AI/ML infrastructure.
- Familiarity with Kubernetes, Terraform, CI/CD Pipelines, and GitHub Actions.
- Exposure to ad-tech, marketing, consumer intelligence, or survey data platforms.
- Experience supporting data products at the scale of Fortune 500 companies.
Core Skills
Benefits
- Monthly compensation ranging from USD $6,000 to $7,000, determined by skillset and seniority.
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
What is the location and remote work policy for this position?
The role is fully remote and intended for candidates based in Latin America who will be allocated to work with GoFasti's client.
What is the compensation and employment type?
This is a full-time contract position managed through a payroll platform. The monthly salary varies between USD $6,000 and $7,000, depending on the candidate's seniority and skillset.
What are the core technical requirements?
Applicants must have at least 8 years of experience in Data Engineering, Data Architecture, or Platform Engineering, plus 8 years of experience with Databricks Lakehouse Architecture. Candidates must also have experience operating or implementing Palantir Foundry data platforms.
How does the hiring process work?
The steps include an application review, a screening interview with the GoFasti team, profile review and approval by the client, a client interview, and finally hiring and onboarding.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.