Solution Architect

Technical Skills:

• Strong proficiency in Java or Python (required) .
• Extensive hands-on experience with real-time data streaming and processing technologies, particularly Kafka (required) .
• Proven ability to build, deploy, and run applications in cloud environments such as Azure or AWS (required) .
• Solid understanding of data structures and data modeling (required) .
• Expertise in large-scale data processing using Databricks Delta Live Tables (DLT), or similar frameworks (strongly preferred) .
• Experience working with NoSQL databases such as MongoDB, Couchbase, Cassandra, or GraphDB (strongly preferred) .
• In-depth knowledge of REST APIs and Microservices Architecture (strongly preferred) .
• Familiarity with containerization technologies like Docker and Kubernetes (strongly preferred).
• Experience developing cloud-native applications (strongly preferred) .
• Understanding of data governance principles and practices (strongly preferred) .

Architecture Design Principles:

• Strong understanding of software architecture patterns, including event-driven architecture, domain-driven design (DDD), and microservices-based systems (required) .
• Familiarity with integration design patterns, such as pub/sub messaging, CQRS, and orchestration vs. choreography in distributed systems (strongly preferred) .
• Experience applying architecture principles such as scalability, fault tolerance, resiliency, and data consistency in real-world implementations (required) .
• Knowledge of API design best practices and contract-first development (strongly preferred) .
• Ability to assess and recommend architectural trade-offs based on business needs, performance constraints, and operational considerations (required) .
• Ability to drive architectural decisions and align solutions with business objectives, scalability, and security considerations (required) .

Ideal Candidate:

The ideal candidate will have:

• Strong technical experience with the required job skills, and well-rounded across the preferred qualifications.
• Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
• Strong problem-solving skills and the ability to think critically about architectural decisions.
• Positive Can-Do attitude with strong tenacity to drive through complex challenges and obstacles.
• Experience in leading technical teams and driving projects from conception to delivery is highly desirable.
• Experience practicing Agile development methodologies such as Scrum or Kanban.
• Strong business-acumen and ability to translate business requirements into technical solutions.
• Ability to work collaboratively in a team environment and adapt to changing priorities and requirements.

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Minimum Qualifications:

• Bachelor s degree in computer science, Engineering, or a related field.
• Minimum 10 years of experience in software engineering and application development.
• At least 5 years of experience designing and architecting solutions using relevant technologies for data integration.

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• Create solution architecture for the enterprise data integration platform.
• Develop technical design documents outlining architecture and design choices.
• Identify and resolve design problems, providing multiple options and recommendations.
• Guide and oversee the implementation of architectural solutions.
• Assist the team in overcoming technical challenges during implementation.
• Present solutions and approaches to stakeholders, ensuring alignment with business goals.
• Lead the teams execution of tasks according to the established design.
• Ensure adherence to company standards, best practices, and compliance requirements.
• Develop a roadmap of key product features in collaboration with stakeholders.
• Provide expertise in data governance principles and practices.
• Apply knowledge of data structures and data modeling to design effective solutions.
• Embrace Agile development methodologies to facilitate iterative development and delivery.

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