Senior Data Platform Architect
New
G
GoFastiData Architecture
Based in Latin AmericaContractSenior
Salary6,000 - 7,000 USD per month
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Job Details
- Languages
- English
- Experience
- 10+ years of experience in Data Engineering, Data Architecture, or Platform Engineering
- Required Skills
- PythonGCPBigQueryDatabricksPySpark
Requirements
- 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.
- English-fluent.
Responsibilities
- 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 the 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.
- 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.
- Serve as the technical authority for enterprise data platform architecture and lead architecture reviews.
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