Enterprise Data Architect

4 days ago

Remote, Oregon, United States Panacea Direct Inc Full time

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: $ $80.00 per hour

Expected hours: 40 per week

Work Location: Remote

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