Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform
Requirements:
Architecting highly-scalable, distributed enterprise data solutions with focus on big data platforms and enterprise data warehouses for reporting analytics
Designing and documenting architecture at multiple levels (Conceptual, logical, physical, data flow and sequence diagrams)
Providing active hands-on architectural guidance and leadership through the entire lifecycle of development projects
Developing and leading proof-of-concepts projects
Job description
Data Platforms Solutions Architect– 100% Remote Duration: 12 Months Plus project Start Date – Immediately Salary – DOE
Job Description
Architecting highly-scalable, distributed enterprise data solutions with focus on big data platforms and enterprise data
Warehouses for reporting & analytics
Designing and developing highly scalable and flexible data platform solutions
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
these into the organization
Technical Skills
Comprehensive understanding of cloud computing platforms such as AWS, Azure, or Google Cloud Platform (GCP).
Proficiency in utilizing cloud services to architect and deliver highly-scalable, distributed, cloud-based enterprise data
Solutions.
Knowledge of architectural design patterns suitable for building scalable and distributed systems in the cloud.
Familiarity with patterns such as microservices, event-driven architecture, and serverless computing.
Ability to design systems at various levels, including high-level conceptual models and detailed physical
Implementations.
Expertise in optimizing the performance of cloud-based applications, especially in handling high Transaction Per
Second (TPS) scenarios. Knowledge of techniques such as horizontal scaling, vertical scaling, caching mechanisms, and load balancing.
Proficiency in backend development technologies and frameworks suitable for high-volume transaction processing.
Knowledge of various database technologies, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL
databases (e.g., MongoDB, Cassandra). Understanding of database design principles, data modeling, and
optimization techniques.
Implementation of best practices for fault tolerance, resilience, and scalability in backend systems. Knowledge of
Techniques such as redundancy, failover mechanisms, circuit breakers, and auto-scaling.
Qualifications
Overall IT experience - 12 years
Variety of technical and engineering
Environments, Functional Systems Modeling,= 8years
Architecture experience - 8 years
Functional and Systems modeling - 7 years
Indirect People Development - 7 years
Business process and System design - 10 years
Strategic planning - 3 years
Running technology proof-of-concepts - 7 years
Proficiency in cloud platforms such as AWS, Azure, or Google Cloud Platform.
From: United States, Sweden, Arizona (USA), Kansas (USA), Michigan (USA), New York (USA), Virginia (USA), Washington (USA), Wisconsin (USA) (Full Remote)
