Senior Solution Architect
Description
You will be instrumental in shaping and delivering end-to-end solutions that align with business goals and technical vision. You enjoy working in cross-functional teams, guiding engineering squads with strong architectural principles, while also mentoring colleagues and driving technical excellence.
Responsibilities
- Collaborate closely with clients to understand business goals, identify technology opportunities, and define digital transformation strategies.
- Design scalable, secure, and high-performing architectures across Cloud, web, mobile, and backend systems, often in the context of complex enterprise ecosystems.
- Architect modern data platforms and pipelines, and embed AI/ML and GenAI capabilities into end-to-end solutions, treating data and intelligence as first-class architectural concerns.
- Leverage Cloud Native and Cloud Agnostic design principles to create flexible, portable, and resilient architectures that can thrive across multi-cloud environments.
- Use industry-standard modeling approaches like C4Model, ArchiMate, or equivalent to document and communicate system architecture clearly.
- Lead architecture reviews, technical discovery sessions, and proof-of-concepts.
- Act as a hands-on advisor throughout the software development lifecycle, ensuring alignment with architectural standards and quality expectations.
- Work in agile and multidisciplinary teams to deliver impactful solutions at speed.
- Maintain a strong awareness of emerging technologies and industry trends, especially in financial services and fintech.
- Mentor and inspire engineers, fostering a culture of innovation, excellence, and continuous learning.
Requirements
- 8+ years in software engineering or solution architecture roles, with at least 3 years as a lead or senior architect.
- Proven experience in designing and delivering enterprise-grade systems within financial services, banking, wealth, or insurance domains.
- Deep knowledge of Cloud Native architectures (e.g., containerization, Kubernetes, service mesh, serverless) and Cloud Agnostic strategies for multi-cloud and hybrid-cloud deployments.
- Strong expertise in modern technology stacks (e.g., event-driven systems, microservices, APIs, DevSecOps).
- Solid grounding in data engineering and data architecture (e.g., data pipelines, data lakes/warehouses, streaming) and experience integrating AI/ML into production systems.
- Proficiency with architectural modeling tools (e.g., C4Model, PlantUML, Structurizr, or ArchiMate).
- Hands-on experience designing and deploying on-premises and hybrid infrastructure solutions in highly regulated environments.
- Proven ability to architect and deliver fixed-price or outcome-based projects, balancing scope, quality, and timelines.
- Excellent communication skills—able to bridge the gap between business stakeholders and engineering teams.
- Comfortable navigating ambiguity and complexity, with a pragmatic and delivery-focused mindset.
- Natural team player with strong leadership potential and coaching skills.
- Strong domain knowledge and hands-on experience in financial services, banking, wealth management, or insurance.
- Experience working directly with clients in a consulting environment, ideally in financial services.
- Familiarity with Domain-Driven Design (DDD), Event Storming, or other collaborative design techniques.
- Exposure to platform engineering or the development of reusable internal developer platforms.
- Hands-on experience with modern data and AI tooling (e.g., Spark, dbt, Kafka, MLOps, or LLM / GenAI Agentic Enablement).
- Certification in one or more cloud platforms (AWS, Azure, GCP).
- Active contributor to architecture communities, blogs, or open-source initiatives.
Benefits
- Accelerate your growth by gaining exposure to financial industry business models, cutting-edge technologies, and real client challenges while shaping your own career path. #YourGrowthUnleashed
- Develop your expertise in modern software architecture, cloud technologies, data platforms, and innovative AI-driven solutions.
- Hands-on mentality and a strong collaborative team spirit.
- Exciting events, diverse learning opportunities, and employee-driven initiatives.
Skills
- Agentic AI
- Agile
- AI
- API
- ArchiMate
- AWS
- Azure
- Cloud
- Cloud Native
- Containerization
- Data Engineering
- Data Lake
- Data Pipelines
- dbt
- DevSecOps
- Domain-Driven Design (DDD)
- Event Driven Architecture
- Fintech
- GCP
- Generative AI
- Kafka
- Kubernetes
- LLM
- Machine Learning
- Microservices
- MLOps
- Serverless
- Spark
- Technical Discovery