Enterprise Architect (18+ Year)

General Repair
United States
February 3, 2026
Full Time
Application ends: July 30, 2026
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Job Description

Fast-Paced Job
Position: Enterprise Architect (18+ Year)
Company: Vaiticka Solution

Job Brief

about the job

position: enterprise architect (18 year)location: remoteemployment: contract. . architectural design

Experience
Professional Development is required

Job Detail
  • 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)
  • 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 ~

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