Description

As a certified TOGAF® 10 architect and data strategy consultant, I help Fortune 500 enterprises and high-growth organisations build world-class data capabilities that drive competitive advantage. With 15+ years of designing enterprise platforms, I now work independently to bring strategic architecture and hands-on expertise directly to clients ready to scale.

I Help You:

Architect Enterprise Data Platforms that scale from millions to billions of records, optimise cost, and maintain compliance (Azure, Databricks, Power BI)
Accelerate Analytics Time-to-Value by designing self-service BI environments that reduce decision-making time by 50-90%
Build Trust Through Governance with GDPR, Solvency II, and regulatory-compliant data frameworks
Modernise Legacy Systems through cloud migration, ETL/ELT transformation, and platform evolution

Languages

English
Native or bilingual
Portuguese
Native or bilingual
Spanish
Conversational

Workplace preferences

Remote only

Primarily works remotely

ATRADIUS (HYBRID)
Data Architect & BI Solution Architect
BANKING AND INSURANCE
June 2023 - September 2025 (2 years and 3 months)
Amsterdam, Netherlands
Design & Review conceptual, logical and physical data models for Credit Risk Application using EA Sparx.
Led the design of cloud-native data architectures on Microsoft Azure using Azure Data Factory, Databricks, Synapse Analytics, and Data Lake Storage, ensuring scalable processing for large-scale credit risk data.
Authored and reviewed technical documentation in Confluence, architectural specifications, and solution designs supporting scalable, compliant data solutions; reported the progress and strategic insights to senior stakeholders, ensuring cross-stream alignment for migration, architecture, and data analytics initiatives.
Provided architectural leadership for the metadata governance using data catalogues and conceptual designs; maintenance of Common Business Objects (CBO), a domain-specific data service. This data mesh architecture aligns with SOA principles, enabling modular, reusable, and interoperable business data components for Surety and Credit Insurance areas.
Lead the design of data architectures for Surety and Credit Risk using modern and legacy components (Power BI, Informatica, Databricks, Oracle DB, Redis, Azure Cosmos DB, Pub/sub messaging). Support BI Teams on the design of data analytics data modals (StarShema / Snowflake / Fact) to optimise and provide the ability to process and report large amounts of data.
Acted as Scrum Master, driving agile ceremonies, assigning tasks, managing backlog and reporting progress.
Define and orchestrate a migration roadmap with timelines aligned with business goals and quality gates.
Design of near real-time analytics architecture when (and if) this capability is required, using Azure Cloud and Oracle components (Oracle Goldengate, Databricks, Reverse ETL and Power BI).
Proposed data privacy and classification methodology to identify sensitive data.
Databricks Microsoft Azure Database Management (e.g., SQL, NoSQL) Business Intelligence (BI) Strategy Data Governance
ROYAL PHILIPS (REMOTE)
Technical Lead & BI Data Solutions Architect | Big Data
INTERNET OF THINGS (IOT)
April 2020 - July 2022 (2 years and 3 months)
Amsterdam, Netherlands
I introduced self-analytics tools. These user-friendly tools allowed non-technical users to effortlessly create reports and derive insights, reducing implementation cost, while ensuring data quality.
Collaborated closely with stakeholders to gather business requirements, provide technical estimates, and design scalable, high-performing data solutions aligned with business objectives.
Architected scalable data engineering solutions processing millions of daily records from IoT medical devices through optimized ETL/ELT pipelines, delivering healthcare analytics via QlikSense data platform.
Led Big Data initiatives managing cross-functional team maintaining 50+ production dashboards, implementing cloud-native data architecture and comprehensive data governance frameworks.
Data integration (ETL, ELT and data warehousing) Business Intelligence (BI) Strategy Data Engineer Qlik Data visualization
NATIONWIDE (HYBRID)
MI Technical Lead & Senior Data Analytics Consultant
BANKING AND INSURANCE
May 2019 - March 2020 (10 months)
London, United Kingdom
Defined MI data models and governed KPI definitions (>80 KPIs) supporting enterprise data quality monitoring on Customer Data sets exceeding 50M records (Big Data).
Translated business requirements into implementable user stories and technical specifications; prioritised backlog, assigned sprint tasks, and ensured adherence to Agile delivery standards
Led technical design reviews for dashboard solutions, establishing reusable patterns for data validation, anomaly detection, and visualisation standards to improve maintainability and accuracy.
Drove root-cause analysis for data quality issues and aligned remediation plans with stakeholders across MI and Data teams; formalised documentation and knowledge sharing via JIRA and Confluence.
Introduced governance checklists for MI deliverables (modelling, DQ rules, KPI traceability), laying foundations for scalable data architecture and quality governance practices.
Data visualization Team management Requirements specification Qlik IT Architecture