What are the responsibilities and job description for the Google Cloud Data Architect position at Match Point Solutions?
MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil and India. Through our culture of innovation, we inspire, build, and deliver business results, from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry specific best practices and expertise.
We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!
Google Cloud Data Architect
Duration 6-12 months
Location : 100% Remote is fine,someone as close to CT / New York as possible that would be nice.
The ideal candidate will have extensive experience with Google Cloud Platform (GCP) and a strong background in designing, implementing, and managing data architectures for large-scale healthcare projects. This role requires a deep understanding of healthcare data standards, security, and compliance regulations.
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.
Performance Optimization : Monitor and optimize the performance of data systems, ensuring high availability, reliability, and scalability.
BI Services : Design and development of semantic layers to be utilized by BI tools such as Looker and Tableau
Qualifications :
Experience : Minimum of 7-10 years of experience in data architecture and data management.
Proven experience with GCP services and tools.
Strong understanding of healthcare data standards and regulations.
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.
Preferred Qualifications :
Experience with healthcare-specific data platforms and tools such as EPIC
Certification in GCP or other cloud platforms.
Knowledge of machine learning and AI applications in healthcare.
