- Company Name
- Falcon Smart IT (FalconSmartIT)
- Job Title
- Data Architect
- Job Description
-
**Job title**
Data Architect
**Role Summary**
Design, govern, and optimize an enterprise data and analytics platform on Azure. Own end‑to‑end architecture for data ingestion, transformation, and AI/ML integration. Collaborate with data science, business, and IT stakeholders to translate analytical needs into scalable, secure, and governed solutions for the insurance domain.
**Expectations**
- 15+ years of senior data and AI architecture experience.
- Proven leadership driving architectural design and governance in large enterprise settings.
- Strong communication skills; ability to articulate architecture to technical and business audiences.
- Deep expertise in Azure data services, Databricks, and modern data engineering practices.
- Knowledge of insurance processes (policy, claims, underwriting, risk, regulatory reporting).
- Cloud‑era mindset: CI/CD, observability, data quality, lineage, and security.
**Key Responsibilities**
- Lead end‑to‑end architecture for Azure data platform (Data Factory, Databricks, Data Lake, Synapse, Functions, Logic Apps).
- Design scalable ingestion, transformation, orchestration, and governance guardrails.
- Define monitoring, observability, and operational integration for pipelines and analytical workloads.
- Architect integration between operational systems, data platforms, ML pipelines, and reporting layers.
- Guide data modeling, business logic, and regulatory compliance for insurance domain.
- Support AI/ML lifecycle: data prep, feature engineering, model deployment, and monitoring.
- Produce architecture diagrams, data flow designs, technical specifications, and governance documentation.
- Engage stakeholders through workshops, workshops, and solution discussions; translate functional needs into technical designs.
- Provide pre‑sales technical support and expand existing projects.
- Mentor junior talent, contribute to automation accelerators, and actively recruit talent.
**Required Skills**
- Azure Data Factory, Databricks (PySpark, Delta Lake, MLflow).
- Azure ecosystem (Key Vault, Data Lake, Synapse, Functions, Logic Apps).
- AI/ML lifecycle, model operationalization, and enterprise integration.
- Data architecture, integration patterns, CI/CD, pipeline monitoring, data quality frameworks.
- Data governance, metadata management, data lineage.
- SQL – advanced data modelling and optimisation.
- Agile methodology, stakeholder management, strong documentation and solutioning.
- Problem‑solving, analytical thinking, continuous learning.
**Required Education & Certifications**
- Bachelor or Master’s degree in IT, Computer Science, Engineering, Business or Decision Sciences.
- Cloud or data engineering certifications preferred (Azure Solutions Architect, Databricks, etc.).
Guildford, United kingdom
Hybrid
Senior
04-12-2025