We are seeking a Data Solution Architect to design and deliver enterprise-scale, data-driven solutions.
You will work with clients and internal teams to define data strategies, build scalable platforms, and enable advanced analytics, AI/ML, and cloud-native architectures. This is a client-facing role that requires deep technical expertise, architectural vision, and strong communication skills.
Responsibilities
- Collaborate with business and technical stakeholders to define solution requirements and translate them into scalable architectures
- Design and implement end-to-end data solutions across cloud platforms (Azure, AWS, GCP)
- Lead architecture design sessions, create documentation and provide guidance to engineering teams
- Support pre-sales activities, including solution design, technical proposals and effort estimations
- Drive best practices in data governance, security and cost optimization
- Mentor teams and oversee solution delivery from design through to go-live
- Stay ahead of industry trends in data, ML/MLOps, and emerging technologies (e.g., GenAI, LLMs)
Requirements
- 10+ years of enterprise data experience, with a strong background in data architecture, big data and cloud solutions
- Hands-on expertise with modern data platforms, pipelines and warehousing solutions
- Experience with AI/ML development and MLOps pipelines
- Strong knowledge of data governance, security, and compliance
- Proficiency in at least one programming language (Python, Scala, Java)
- Excellent English communication and presentation skills, with proven experience in client-facing roles
- Ability to lead cross-functional teams and drive architectural vision
Nice to have
- Experience with GenAI and LLM-based architectures
- Familiarity with enterprise metadata management tools
- Knowledge of cost optimization strategies for cloud platforms
- Experience with high-load, real-time, or IoT data solutions
