Solution Architect

emagine is a high-end professional services consultancy and solutions firm specializing in providing business and technology services to the financial services sector.

• 15+ years' experience within software engineering, solution architecture, or enterprise technology environments.
• Proven experience delivering end-to-end architecture for data, API, integration, and AI platforms.
• Strong experience designing target-state architectures and enterprise technology roadmaps.
• Extensive experience with Azure and/or AWS cloud platforms.
• Expertise in modern data architectures including Data Lakes, Lakehouse patterns, and enterprise analytics platforms.
• Strong understanding of data modelling, data warehousing, and large-scale data platform design.
• Experience with Databricks, Azure Data Factory, dbt, Airflow, PySpark, and SQL.
• Knowledge of streaming and event-driven architectures using technologies such as Kafka and Event Hub.
• Experience defining governance, security, compliance, and non-functional requirements.
• Outstanding stakeholder management and communication skills.
• Experience working within Agile delivery environments and distributed global teams.

Nice to have:

• Experience with Snowflake, Microsoft Fabric, and Power BI.
• Knowledge of vector databases, embeddings, semantic search, and modern AI architecture patterns.
• Exposure to Generative AI and agentic AI solutions.
• Databricks or cloud architecture certifications.
• Experience working within multi-cloud environments, including Azure, AWS, and GCP.

• Define and own end-to-end solution architecture for enterprise data, integration, API, and AI platforms.
• Shape solution options and target-state architectures aligned to strategic business objectives.
• Design scalable cloud-native solutions across Azure and AWS environments.
• Establish architecture standards, governance processes, and delivery guardrails.
• Define integration, data, and event-driven architecture patterns.
• Lead architectural reviews and provide technical leadership across multiple teams.
• Ensure solutions meet security, compliance, resilience, performance, and scalability requirements.
• Drive data governance, data quality, metadata, and lineage best practices.
• Partner with business and technology stakeholders to translate requirements into sustainable architecture solutions.
• Define technology roadmaps and evaluate emerging technologies, including AI and agentic capabilities.
• Produce and maintain architecture documentation, standards, decision records, and reference models.
• Mentor engineering teams and promote architecture best practices across the organisation.

emagine is an equal opportunity employer. Employment practices are based strictly on merit without discrimination based on sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin. Data processing complies with applicable data protection laws.