Data Platforms and Services – Solutions Architect

Key Note –
Quick Service Restaurant experience – I will say good to have -
A QSR (Quick Service Restaurant) experience refers to the overall customer experience in a fast-food or fast-casual dining environment.
This type of restaurant is characterized by its focus on quick service, convenience.

Key Responsibilities
• Clienthitecting 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 Clienthitecture at multiple levels (high-level to detailed) and across multiple views
(conceptual, logical, physical, data flow and sequence diagrams)
• Providing active “hands-on” Clienthitectural guidance and leadership through the entire lifecycle of development projects
• Translating business requirements into conceptual and detailed technology solutions
• Collaborating closely with other Clienthitects and peers across the organization Clienthitecting 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, Clienture, or Google Cloud Platform (GCP).
Proficiency in utilizing cloud services to Clienthitect and deliver highly-scalable, distributed, cloud-based enterprise data
solutions.
• Knowledge of Clienthitectural design patterns suitable for building scalable and distributed systems in the cloud.
Familiarity with patterns such as microservices, event-driven Clienthitecture, 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,= 8
years
• Clienthitecture 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, Clienture, or Google Cloud Platform