Job Title: GCP Data Architect
Location New York, NY
Key Responsibilities
Design and implement solutions for data center migrations, encompassing both applications and databases, to the cloud or alternative data centers.
Develop scalable solutions on the Google Cloud Platform (GCP), leveraging its suite of services and tools.
Collaborate closely with stakeholders to gather requirements and define architecture blueprints for data engineering projects on GCP.
Lead the implementation of data engineering projects on GCP, including building pipelines, data lakes, and data warehouses.
Execute migrations from on-premises environments to GCP, ensuring seamless transition and minimal disruption to operations.
Provide technical expertise and guidance to project teams, ensuring adherence to best practices and architectural standards.
Conduct performance optimization and tuning activities to enhance the efficiency and reliability of GCP-based solutions.
Must-Have Skills
Demonstrated experience with GCP data engineering, including the implementation of data engineering projects on GCP/BigQuery.
Proven ability to design and architect scalable solutions in GCP, leveraging its suite of services such as Compute Engine, Bigtable, Pub/Sub, Dataflow, and others.
Hands-on experience in building data pipelines and ETL processes on GCP, using tools like Apache Beam, Apache Spark, or similar technologies.
Experience with migration initiatives from on-premises environments to GCP, including data migration strategies and best practices.
13+ years of total experience in the field of data engineering and architecture, with at least 3-4 years of experience in an architectural role.
Healthcare experience(Payer/Provider)
Nice-to-Have Skills
GCP Data Engineer certification, demonstrating proficiency and expertise in GCP data technologies.
Familiarity with other cloud platforms such as Azure or AWS, as well as hybrid cloud environments.
Strong understanding of modern data architecture principles, including data governance, data modeling, and metadata management.
Qualifications
Bachelor's degree in Computer Science, Engineering, or related field. Advanced degree preferred.
Relevant certifications in Google Cloud Platform (GCP) or related areas.
Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
Strong analytical and problem-solving abilities, with a focus on delivering innovative and effective solutions.
Ability to adapt to evolving technologies and industry trends, staying abreast of advancements in cloud computing and data engineering.