Data Architect (Google Cloud) - HEALTHCARE

We are currently hiring for our client, which is a leading-edge global IT-services company.Position: Data Architect (Google Cloud) - HEALTHCARELocation: Boston, MA (Hybrid ~3 days onsite, will require commute or relocation)Job Description:Requirements Experience in Data Architecture and Google Cloud Platform (GCP). Skills : Proficiency in data modeling, ETL processes, and data warehousing. Deep understanding of GCP services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and IAM. Competencies : Strong leadership abilities, with a proven track record of managing large-scale data projects. Ability to balance technical and business needs in designing data solutions. Tools : Experience with version control (Git), CI/CD pipelines, and automation tools. Proficiency in SQL, Python, and data visualization tools like Looker or Power BI. Knowledge : Extensive knowledge of data governance, security best practices, and compliance in cloud environments. Familiarity with big data technologies like Apache Hadoop and Spark. Soft Skills : Excellent communication skills to work effectively with both technical teams and business stakeholders. Ability to lead and mentor a team of data engineers and architects.Responsibilities Design, architect, and implement scalable data solutions on Google Cloud Platform (GCP) to meet the strategic data needs of the organization. Lead the integration of diverse data sources into a unified data platform, ensuring seamless data flow and accessibility across the organization. Develop and enforce robust data governance, security, and compliance frameworks tailored to GCP's architecture. Collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to translate business requirements into technical data solutions. Optimize data storage, processing, and analytics solutions using GCP services such as BigQuery, Dataflow, and Cloud Storage. Drive the adoption of best practices in data architecture and cloud computing to enhance the performance, reliability, and scalability of data solutions. Conduct regular reviews and audits of the data architecture to ensure alignment with evolving business goals and technology advancements. Stay informed about emerging GCP technologies and industry trends to continuously improve data solutions and drive innovation.