Designs, develops, implements, utilizes, and conforms to enterprise cloud architecture application solutions, strategies, processes, and standards, focusing on expertise in cloud technologies.
Collaborates with business owners, Analysts, Engineers, development teams, and infrastructure services to define, establish, and communicate application and data architecture standards, policies, and directions.
Designs high quality architectures and drives architecture activities that are aligned to organization requirements set by leadership on behalf of stakeholders and are consistent with enterprise architectural standards.
Analyzes user needs and designs software for client use. Develops code and designs software applications based on user specifications. Modifies existing software to correct errors or improve performance. Monitors and assists with software testing and validation procedures and programming.
Leads the design and implementation of advanced data collection and ingestion frameworks using
Pixel hardware with Doc AI, ensuring the capture of high-quality, actionable data.
Architects and maintains scalable, high-performance data pipelines and storage solutions with BigQuery, optimizing for efficiency and cost.
Develops sophisticated data models and algorithms to support analytics, machine learning projects, and business intelligence efforts.
Oversees the creation and maintenance of dynamic, interactive dashboards and advanced data visualizations in Looker to empower business units with real-time insights. Design, build, and maintain scalable and reliable data pipelines to support data structuring and ingestion into BigQuery.
Develops and maintain dashboards and reports in Looker for data visualization, providing actionable insights to internal stakeholders.
Continuously evaluates and adopts new technologies within the Google Cloud Platform to enhance data capabilities.
Designs and implements robust API management and data orchestration strategies using Apigee, enhancing data connectivity and integration with diverse systems, both internal and external.
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-5+ years application development and data engineering/architecture experience in a cloud environment
-Experience with Google Cloud Platform and Google Could ecosystem
-Experience utilizing Pixel hardware with Doc AI, BigQuery, Looker, Apigee, and other tools within the Google Cloud Platform
-IAT II certification (Security+ or equivalent)