Cloud Architect

4 weeks ago


Hartford, United States SGS Technologie Full time

Hi,

Hope you are doing good,

This is Rahul from SGS Technologies, we have a vacancy for Cloud Data Architect - Hartford, Connecticut Position from one of our Direct Client. Let me know your Interest.

Job Title: Cloud Data Architect

Contract: Long Term

Location: Hartford, Connecticut ( 2-3 days monthly - onsite)

Key Responsibilities:

Data Architecture Design: Design and implement scalable, secure, and efficient data architectures on GCP to support healthcare applications and data analytics.

Healthcare Data Management: Ensure the proper handling, storage, and integration of healthcare data, adhering to industry standards such as HIPAA, HL7, HL7v2, FHIR, and other relevant regulations.

Data Integration: Develop and manage data integration processes, including ETL/ELT pipelines, to integrate data from various sources (e.g., EHRs, clinical systems, IoT devices) into a unified data platform.

Cloud Infrastructure Management: Oversee the deployment and management of GCP services, including BigQuery, Health Data Engine, DataFlow, Composer, Cloud Storage, Cloud Pub/Sub, Dataflow, and AI/ML services.

Data Governance: Establish and enforce data governance policies and procedures to ensure data quality, integrity, and security across the organization. Translating governance requirements in to metadata and data catalog design

Team Leadership: Lead and mentor a team of data engineers, analysts, and architects, providing technical guidance and fostering a culture of continuous learning and improvement.

Stakeholder Collaboration: Collaborate with cross-functional teams, including healthcare professionals, product managers, and business analysts, to understand data requirements and deliver effective data solutions.

Qualifications:

Experience: Minimum of 7-10 years of experience in data architecture and data management.

Proven experience with GCP services and tools.

Strong understanding

Technical Skills:

Proficiency in GCP services, including BigQuery, Health Data Engine, Cloud Storage, Cloud Pub/Sub, Dataflow, and AI/ML services.

Experience with data modeling, database design, and data warehousing.

Strong programming skills in SQL, Python, or other relevant languages.

Knowledge of ETL/ELT processes and tools.

Familiarity with data governance and security best practices.


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