Solution Architect

Job Responsibilities

• Define the overall architecture and strategy for the project, ensuring it aligns with product requirements and security standards.
• Design complex solutions leveraging microservice architecture principles.
• Lead API design and data integration efforts to enable seamless communication between systems.
• Facilitate collaboration among all stakeholders to define and prioritize key architectural drivers.
• Design and implement data models, data flows, and integration patterns for structured, semi-structured, and unstructured data.
• Work closely with DevOps, engineering, and security teams to build scalable data pipelines supporting both real-time and batch processing.
• Select and integrate appropriate data storage and analytics technologies such as relational databases, data lakes, NoSQL, and time-series databases.
• Ensure compliance with data governance, privacy regulations, and security best practices.
• Establish frameworks for data quality, metadata management, and data lineage tracking.
• Support analytics and reporting needs by providing a strong, scalable data architecture foundation.
• Evaluate and recommend tools and platforms that support long-term scalability and maintainability of data solutions.
• Provide technical leadership and guidance to software development teams throughout the project lifecycle.
• Participate actively in code review processes to maintain code quality and best practices.
• Analyze and resolve technical and application-related challenges.
• Offer system design recommendations based on detailed technical requirements.

Job Requirements

• Minimum of 3 years in a technical leadership role.
• At least 7 years of experience in software development.
• Proven track record of successful consulting projects.
• Demonstrated experience as a solution architect.
• Expertise in designing complex solutions using microservice architecture.
• Strong skills in designing scalable architectures for web-based platforms or cloud-agnostic systems.
• Deep understanding of data modeling, ETL/ELT processes, and data lifecycle management.
• Familiarity with cybersecurity concepts, log and event data formats (e.g., syslog, JSON, STIX), and security telemetry is a strong advantage.
• Excellent communication skills and ability to engage effectively with stakeholders.
• Experience working in Agile environments and multidisciplinary Scrum teams.
• Fluent English communication skills.
• Self-motivated, independent, detail-oriented, and a responsible team player.

• Hands-on experience with:

  - Relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra)
  - Cloud-based data services (preferably Azure Data Services; AWS or GCP also acceptable)
  - Data pipelines and orchestration tools (e.g., Apache Airflow, Azure Data Factory)
  - Big data technologies (e.g., Spark, Kafka, Delta Lake)