Data Platforms Solutions Architect- 100% Remote

Data Platforms Solutions Architect– 100% Remote

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.

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.

Overall IT experience - 12 years. Variety of technical and engineering environments, functional systems modeling - 8 years. 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.