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高级数据平台架构师 - Palantir Foundry 与 Databricks 集成

雇主

GoFasti

地点

远程 · Remote · 中国

待遇

USD 6,000 - USD 7,000 / monthly

工作模式

远程

截止日期

1月5日

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岗位摘要

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 Data Platform Architect - Palantir Foundry & Databricks Integration, based in Latin America, available to work remotely. We…

岗位职责

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 Data Platform Architect - Palantir Foundry & Databricks Integration, 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 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, 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:
8+ years of experience in Data Engineering, Data Architecture, or Platform Engineering.
8+ 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.
It's a plus:
Palantir Foundry certification or implementation experience.
Experience with Ontology development and operational decision platforms.
Experience with AI/ML infrastructure and model deployment.
Familiarity with Terraform, Kubernetes, GitHub Actions, and CI/CD Pipelines.
Experience with survey, consumer intelligence, marketing, or ad-tech data platforms.
Experience supporting data products at Fortune 500 scale.
Compensation:
The salary range offered for this position varies from (USD) $6,000 - $7,000 per month, depending on seniority and skillset.
This position is for a full time contract, through a payroll platform.
The talent will work remotely allocated at our client.
Here are the steps for this process:
TBD > Application review/approval > Screening interview with GoFasti's team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.
Once you apply for the job, our team will review your resume. If it meets the requirements, we will contact you and move forward in the process.
Note for Candidates Approached Directly:
If you were contacted directly by a member of our team and are interested in this opportunity, please do not apply through this link. Instead, reach out to the person who contacted you to coordinate a meeting.
Thank you!

申请条件

- 英语流利
- 驻拉丁美洲,可远程工作
- 出色的沟通和关系建立能力
- 拥抱变化,同时保持对细节的高度关注
- 积极主动,持续学习和提升技能
- 具备设计并实施集成 Palantir Foundry 与 Databricks 的企业级联邦架构的经验
- 熟悉跨 Foundry、Databricks、BigQuery 和 Cloud Storage 环境的数据共享标准
- 掌握 Delta Lake、Apache Iceberg、Unity Catalog、Foundry Ontology、Virtual Tables 和 Catalog Federation 等架构模式
- 具备将传统 ETL 架构现代化为元数据驱动、云原生数据产品的经验
- 能够定义跨平台的企业数据治理、血缘、元数据和所有权模型
- 具备创建支持 AI、机器学习、实时分析和自助数据消费的架构路线图的能力
- 具备设计和实施 Foundry Databricks Connector 解决方案的经验,包括批量导入、增量数据同步、虚拟表、计算下推和外部模型集成
- 熟练使用 PySpark、Spark SQL、Python、Databricks Workflows、Airflow 和 Foundry Code Repositories 构建可扩展的摄取、转换和丰富管道
- 具备架构 Palantir Foundry、Databricks、Google Cloud Platform、BigQuery、Cloud Storage 和企业 API 之间安全连接的能力
- 能够在 Foundry 和 Databricks 环境中支持 AI 和机器学习工作负载
- 具备担任企业数据平台技术权威的能力

雇主简介

GoFasti is a Talent-as-a-Service company that connects world-class developers and designers from Latin America with global companies, offering remote work solutions.

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