We are currently hiring for our client, which is a leading-edge global IT-services company.
Position: Data Architect (Google Cloud) - HEALTHCARE
Location: 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.