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Data Solution Architect / Engineer

Infinityquest — Poland · Posted ~1 day ago

Senior

Skills

Solution architecture Data architecture Real-time data processing Kafka Feature engineering Feature Store Model deployment MLOps Data products Databricks GitHub Actions

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Summary ✨ AI‑Generated

A solution architect will design modern data and AI capabilities supporting real-time processing, feature engineering, model deployment and data-product delivery. You will define architecture patterns and work closely with data, platform and enterprise architecture teams through implementation.

Highlights

Design end-to-end architectures for advanced analytics, real-time processing, feature engineering and model deployment. The role provides broad collaboration with data science, data engineering, platform and enterprise architecture teams.

Description

About the Role We are looking for a Solution Architect to support the initiative and help establish modern capabilities for advanced analytics, real-time processing, feature engineering, and model deployment within the future AI Workzone landscape. The architect will work closely with Data Scientists, Data Engineers, Platform teams, and Enterprise Architects to design solutions that enable Mortgage Renewal and future Machine Room use cases while supporting the transition from EAP (Datalake) Classic to the next-generation AI Development Platform. Responsibilities Design end-to-end solution architectures for Machine Room use cases.Define architecture patterns for:Real-time ingestion and processingKafka-based integrationsFeature engineering and Feature StoreModel deployment and MLOpsData product deliverySupport adoption of Databricks, GitHub Actions, and AI Workzone capabilities.Collaborate with development teams during implementation.Produce architecture documentation and solution designs.Ensure alignment with client’s architecture principles and target architecture.Support the migration journey from EAP Classic to Sweden Central and AI Workzones. Required Qualifications 10+ years of experience as Solution Architect, Technical Architect, or Senior Engineer.Experience with Azure-based data and analytics platforms.Strong understanding of data pipelines and integration patterns.Experience with Databricks or similar analytics platforms.Experience designing solutions using Kafka or event-driven architectures.Understanding of CI/CD and DevOps practices.Ability to communicate with both business and technical stakeholders. Preferred Qualifications Experience with AI/ML platforms or MLOps.Experience with Databricks Lakehouse, Unity Catalog or Feature Store concepts.Experience with GitHub Actions and Infrastructure as Code.Experience in banking, financial services, or regulated environments