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You will be updated with latest job alerts via emailJob Title: Data Platforms and Services Solutions Architect
Location: Remote
Duration: 12 months
Key Responsibilities
Architecting highlyscalable distributed enterprise data solutions with focus on big data platforms and enterprise datawarehouses for reporting & analytics
Designing and developing highly scalable and flexible data platform solutions
Designing and documenting architecture at multiple levels (highlevel to detailed) and across multiple views
(conceptual logical physical data flow and sequence diagrams)
Providing active handson 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 thirdparty vendor assessments
Developing and leading proofofconcepts 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 highlyscalable distributed cloudbased enterprise data solutions.
Knowledge of architectural design patterns suitable for building scalable and distributed systems in the cloud.
Familiarity with patterns such as microservices eventdriven architecture and serverless computing.
Ability to design systems at various levels including highlevel conceptual models and detailed physical
implementations.
Expertise in optimizing the performance of cloudbased applications especially in handling high Transaction Per Second (TPS) scenarios. Knowledge of techniques such as horizontal scaling vertical scaling caching mechanismsand load balancing.
Proficiency in backend development technologies and frameworks suitable for highvolume 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 autoscaling.
Qualifications
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 proofofconcepts 7 years
Proficiency in cloud platforms such as AWS Azure or Google Cloud Platform.
Job Summary and Mission
as a unique reliable source for core aggregated and derived data of the Product domain. Deliver consistent product data across
This team is responsible for
for architecting developing and managing the data platforms data integrations reporting and analytics solutions for the enterprise business data.
This role reports into Architecture function working daily within the Product/Menu/Experience engineering and product team
As a member of the broader architecture community you will also leverage established architectural design patterns and practices used within Client global IT operations.
Supporting North America time zones this role will provide guidance for market teams both in the United States and globally.
Full Time