Job Description
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. L1-LK1
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 team's 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. L1-LK1
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. L1-LK1
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