Panacea Direct Inc
Enterprise Data Architect (GCP)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Enterprise Data Architect (GCP) on a contract basis, remote, paying $70.00 - $80.00 per hour. Required skills include Google Cloud, Apache Iceberg, Delta Lake, and healthcare interoperability standards. 20+ years of experience is necessary.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
640
-
🗓️ - Date
November 11, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Remote
-
🧠 - Skills detailed
#Security #Trino #BigQuery #Spark (Apache Spark) #Databricks #Data Architecture #Metadata #Data Quality #Delta Lake #Data Engineering #Strategy #Storage #Cloud #GCP (Google Cloud Platform) #Data Catalog #Data Management #Scala #Dataflow #Kafka (Apache Kafka) #Data Strategy #Presto #Compliance #Apache Iceberg #Data Modeling #Apache Kafka #FHIR (Fast Healthcare Interoperability Resources) #Leadership #Observability
Role description
Position – Enterprise Data Architect (GCP)
Location – Remote
Duration – Contract
Skills: -
· Mandatory skills Cloud Platform: Google Cloud (BigQuery, Dataflow, Dataproc).
· Lakehouse Frameworks: Apache Iceberg, Delta Lake, Hudi.
· Streaming & Event-Driven Architecture: Apache Kafka, Google Pub/Sub, Apache Flink.
· Query Federation: Starburst, Presto, Trino.
· Data Modeling: Advanced modeling techniques, schema evolution.
· Governance & Security: Metadata management and data quality frameworks.
· Architecture Principles: Event sourcing, CQRS, Data Mesh
Good to have skills: -
· Experience with Databricks Lakehouse
· Understanding of Data Catalog and Data Observability tools like Atlan, Monte Carlo, etc.
· Healthcare Knowledge - Understanding and exposure of Healthcare Interoperability standards like HL7, CCDA, FHIR, etc. Experience in implementation of Clinical and Claims Data Analytics in a large Payor Ecosystem
Responsibilities: -
Architectural Design
· Define and implement Open Lakehouse Architecture leveraging technologies like Apache Iceberg and Delta Lake
· Design Event-Driven Architecture using streaming platforms such as Apache Kafka, Google Pub/Sub, and Apache Flink
Cloud & Platform Expertise
· Architect solutions on Google Cloud Platform using services like Dataproc, Dataflow, and Cloud Storage.
· Integrate Starburst for federated query capabilities across heterogeneous data sources.
Data Strategy & Governance
· Establish enterprise-wide data standards, metadata management, and data quality frameworks.
· Ensure compliance with security, privacy, and regulatory requirements.
Integration & Scalability
· Develop strategies for integrating structured, semi-structured, and unstructured data from multiple sources.
· Optimize for performance, cost, and elastic scalability in cloud and hybrid environments.
Collaboration & Leadership
· Partner with business stakeholders, data engineers, and application architects to align architecture with business goals.
· Mentor teams on modern data architecture patterns and best practice
Technical Expertise
· Strong knowledge of Open Lakehouse frameworks (Iceberg, Delta Lake, Hudi).
· Proficiency in streaming technologies (Kafka, Flink, Spark Structured Streaming, Google Pub/Sub).
· Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Dataproc).
· Experience with Starburst or similar query federation tools.
· Expertise in data modeling, partitioning strategies, and schema evolution.
· Familiarity with object storage (GCS) and query engines (Presto, Trino)
Experience: -
· 20+ Years
Job Type: Contract
Pay: $70.00 - $80.00 per hour
Expected hours: 40 per week
Work Location: Remote
Position – Enterprise Data Architect (GCP)
Location – Remote
Duration – Contract
Skills: -
· Mandatory skills Cloud Platform: Google Cloud (BigQuery, Dataflow, Dataproc).
· Lakehouse Frameworks: Apache Iceberg, Delta Lake, Hudi.
· Streaming & Event-Driven Architecture: Apache Kafka, Google Pub/Sub, Apache Flink.
· Query Federation: Starburst, Presto, Trino.
· Data Modeling: Advanced modeling techniques, schema evolution.
· Governance & Security: Metadata management and data quality frameworks.
· Architecture Principles: Event sourcing, CQRS, Data Mesh
Good to have skills: -
· Experience with Databricks Lakehouse
· Understanding of Data Catalog and Data Observability tools like Atlan, Monte Carlo, etc.
· Healthcare Knowledge - Understanding and exposure of Healthcare Interoperability standards like HL7, CCDA, FHIR, etc. Experience in implementation of Clinical and Claims Data Analytics in a large Payor Ecosystem
Responsibilities: -
Architectural Design
· Define and implement Open Lakehouse Architecture leveraging technologies like Apache Iceberg and Delta Lake
· Design Event-Driven Architecture using streaming platforms such as Apache Kafka, Google Pub/Sub, and Apache Flink
Cloud & Platform Expertise
· Architect solutions on Google Cloud Platform using services like Dataproc, Dataflow, and Cloud Storage.
· Integrate Starburst for federated query capabilities across heterogeneous data sources.
Data Strategy & Governance
· Establish enterprise-wide data standards, metadata management, and data quality frameworks.
· Ensure compliance with security, privacy, and regulatory requirements.
Integration & Scalability
· Develop strategies for integrating structured, semi-structured, and unstructured data from multiple sources.
· Optimize for performance, cost, and elastic scalability in cloud and hybrid environments.
Collaboration & Leadership
· Partner with business stakeholders, data engineers, and application architects to align architecture with business goals.
· Mentor teams on modern data architecture patterns and best practice
Technical Expertise
· Strong knowledge of Open Lakehouse frameworks (Iceberg, Delta Lake, Hudi).
· Proficiency in streaming technologies (Kafka, Flink, Spark Structured Streaming, Google Pub/Sub).
· Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Dataproc).
· Experience with Starburst or similar query federation tools.
· Expertise in data modeling, partitioning strategies, and schema evolution.
· Familiarity with object storage (GCS) and query engines (Presto, Trino)
Experience: -
· 20+ Years
Job Type: Contract
Pay: $70.00 - $80.00 per hour
Expected hours: 40 per week
Work Location: Remote
