Research Engineer, GCP Optimization
CloudZero
BigQueryCloudDistributed SystemsETLGoogle Cloud PlatformPythonSQLTerraform
Principal Data Integration Solution Architect
The Walt Disney Company
full-time
Posted on:
Origin: • 🇺🇸 United States • California, Florida, Washington
Visit company websiteSalary
💰 $184,300 - $258,900 per year
Job Level
Lead
Tech Stack
BigQueryCloudETLGoogle Cloud PlatformInformaticaSQL
About the role
- Architecting highly-scalable, distributed enterprise data solutions with focus on data integration
- Designing and developing data integration solutions using common data integration best practices including: APIs, Messaging Bus, Pub-Sub, ETL
- Designing and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
- Providing active “hands-on” architectural guidance and leadership through the entire lifecycle of development projects
- Translating business requirements into conceptual and detailed technology solutions
- Collaborating closely with other architects and peers across the organization architecting and delivering solutions
- Performing third-party vendor assessments
- Developing and leading proof-of-concepts projects
- Keeping fluent in industry and marketplace evolution; continuously learning new data technologies and introducing into the organization
- Cross-training peers and mentoring junior teammates
Requirements
- Minimum of 10 years of related work experience
- Experience with GCP Dataflow and BigQuery (preferred)
- Experience with Informatica/IDMC (desirable)
- Expertise in data integration
- Familiarity and working experience with common data integration patterns and processes including: ETL, APIs, Messaging Bus, Pub-Sub, flat files
- Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
- Understanding and experience with Solutions Architecture methodology and practices
- Ability to translate business requirements into conceptual and detailed technology solutions
- Ability to perform third-party vendor assessments
- Ability to develop and lead proof-of-concepts
- Fluent understanding of security and compliance requirements and how to design solutions that are secure and compliant
- Practical experience designing data solutions in multiple models and technologies: relational, No-SQL, big data, graph, distributed, cloud, unstructured and structured
- Experience and expertise architecting and developing data platforms
- Experience and expertise in data security
- Experience and expertise with data lifecycle management, data-tiering and data archiving
- Functional understanding and experience with BI and Analytics tools
- Functional understanding of cloud data storage and analytics offerings
- Experience migrating legacy systems to modern solutions
- Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
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