Data Platforms and Services Solutions Architect

Job 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 DPS Solutions Architect 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).

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.