Data Platforms and Services Solutions Architect
Job Summary and Mission
-As a DPS Solutions Architect within the Clients Technology you will build and enhance the operational data hubs that serve as a unique, reliable source for core, aggregated and derived data of the Product domain.
-Deliver consistent product data across digital channels that include instore experiences to support various business models including global markets.
The ADT (Architecture, Data and Emerging Tech) group is part of the Clients Technology organization.
We are responsible for architecting, developing and managing the data platforms, data integrations, reporting and analytics solutions for the Clients enterprise business data.
This role reports into the Clients 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 s global IT operations.
Supporting North America time zones, this role will provide guidance for market teams both in the United States and globally.
Key Responsibilities
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 (Google Cloud Platform). 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 - 15 years
Variety of technical and engineering environments, Functional Systems Modeling,= 8
years
Architecture experience 8-10 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.
Excellent written, verbal, communication and presentation skills with the ability to articulate new ideas and concepts to technical and nontechnical audiences
Excellent communication and interpersonal skills.
Strong problem-solving skills and ability to think strategically about business and technical challenges.
Job Summary and Mission
-As a DPS Solutions Architect within the Clients Technology you will build and enhance the operational data hubs that serve as a unique, reliable source for core, aggregated and derived data of the Product domain.
-Deliver consistent product data across digital channels that include instore experiences to support various business models including global markets.
The ADT (Architecture, Data and Emerging Tech) group is part of the Clients Technology organization.
We are responsible for architecting, developing and managing the data platforms, data integrations, reporting and analytics solutions for the Clients enterprise business data.
This role reports into the Clients 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 s global IT operations.
Supporting North America time zones, this role will provide guidance for market teams both in the United States and globally.
Key Responsibilities
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 (Google Cloud Platform). 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 - 15 years
Variety of technical and engineering environments, Functional Systems Modeling,= 8
years
Architecture experience 8-10 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.
Excellent written, verbal, communication and presentation skills with the ability to articulate new ideas and concepts to technical and nontechnical audiences
Excellent communication and interpersonal skills.
Strong problem-solving skills and ability to think strategically about business and technical challenges.