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Artmac · 2 days ago
GCP Data & Analytics Solution Architect
Dallas, TX
Contract
Onsite
Senior Level
8+ years exp
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Responsibilities
12 years of expertise in Data Analytics and Big Data
Proven experience in architecting and designing solutions using Google Cloud products.
Experience with real-time data streaming and processing.
Expertise in capacity planning for new initiatives on Google Cloud.
Successfully executed end-to-end implementation/migration of Data Warehouse and Big Data projects from on-premise to GCP.
Proficiency in working with Docker and Kubernetes.
Strong understanding of data security, encryption, access control, and legal data privacy compliance (e.g., GDPR).
Excellent communication and collaboration skills, with the ability to align technical solutions with business requirements.
Design, develop, implement, and improve BI & Big Data Analytics environments on-premise or on Google Cloud Management Platform.
Architect and design solutions leveraging Google Cloud products such as Cloud BigQuery, GCS, Cloud DataFlow, Cloud Pub/Sub, Cloud BigTable, and TensorFlow.
Align Google best practices and recommendations with customer requirements to deliver top-tier analytics solutions.
Execute end-to-end implementation/migration of Data Warehouse and Big Data (Hadoop) projects from on-premise to GCP, utilizing tools like Google BigQuery, DataFlow, DataProc, etc.
Work with microservices using Docker and Kubernetes.
Migrate workloads from on-premise or other public clouds to Google Cloud Platform.
Collaborate closely with Operations teams to size, scale, and tune both existing and new architectures.
Manage and provision cloud solution infrastructure, including network, storage, and compute resources, ensuring legal compliance and security standards.
Design and manage data security solutions, including encryption, access control, and storage management, ensuring legal data privacy compliance such as GDPR.
Handle real-time streaming and processing of various data sources, including logs, time series telemetry data, unstructured social data, and relational data.
Perform capacity planning for new initiatives on Google Cloud, including sizing for storage, computing, and network resources.
Qualification
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Required
12 years of expertise in Data Analytics and Big Data
Proven experience in architecting and designing solutions using Google Cloud products
Experience with real-time data streaming and processing
Expertise in capacity planning for new initiatives on Google Cloud
Successfully executed end-to-end implementation/migration of Data Warehouse and Big Data projects from on-premise to GCP
Proficiency in working with Docker and Kubernetes
Strong understanding of data security, encryption, access control, and legal data privacy compliance (e.g., GDPR)
Excellent communication and collaboration skills, with the ability to align technical solutions with business requirements
Design, develop, implement, and improve BI & Big Data Analytics environments on-premise or on Google Cloud Management Platform
Architect and design solutions leveraging Google Cloud products such as Cloud BigQuery, GCS, Cloud DataFlow, Cloud Pub/Sub, Cloud BigTable, and TensorFlow
Align Google best practices and recommendations with customer requirements to deliver top-tier analytics solutions
Execute end-to-end implementation/migration of Data Warehouse and Big Data (Hadoop) projects from on-premise to GCP, utilizing tools like Google BigQuery, DataFlow, DataProc, etc
Work with microservices using Docker and Kubernetes
Migrate workloads from on-premise or other public clouds to Google Cloud Platform
Collaborate closely with Operations teams to size, scale, and tune both existing and new architectures
Manage and provision cloud solution infrastructure, including network, storage, and compute resources, ensuring legal compliance and security standards
Design and manage data security solutions, including encryption, access control, and storage management, ensuring legal data privacy compliance such as GDPR
Handle real-time streaming and processing of various data sources, including logs, time series telemetry data, unstructured social data, and relational data
Perform capacity planning for new initiatives on Google Cloud, including sizing for storage, computing, and network resources
Company
Artmac
Artmac provides Digital, consulting and Management IT services to clients globally - As your trusted partner, let’s reimagine how your business gets done.
11-50 employees
H1B Sponsorship
Artmac has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (2)
2022 (1)
2021 (3)
Funding
Current Stage
Early StageCompany data provided by crunchbase
