Enterprise Domain Architect – Data and Trading

Candidate Description

With over 13 years navigating enterprise data landscapes, this Enterprise Domain Architect excels in shaping large-scale, high-performance platforms across energy, consulting, and cybersecurity sectors. They possess deep expertise in AWS, Azure, Databricks, and Snowflake and leverage well-architected frameworks and TOGAF principles to craft sustainable, secure, and scalable solutions. Grounded in three master s degrees spanning software engineering, information security, and finance, this professional couples analytical rigour with a people-centric leadership style.

Their technical acumen is demonstrated through the delivery of cloud-native data warehouses, lakehouses, and machine-learning platforms for a Major Energy Company, a Cybersecurity Firm, and a Financial Services Firm. Adept at dimensional modelling, ETL/ELT pipeline orchestration with Apache Airflow, Matillion, and Talend, and CI/CD automation via Jenkins, GitHub, and Terraform, they consistently drive best-practice DevSecOps and data-governance initiatives. Key achievements include architecting a Databricks replication framework, implementing a Redshift warehouse ingesting multi-source data, and rolling out GDPR-compliant Azure data estates for government stakeholders.

A collaborative leader, they have built and mentored high-performing teams of data and ML engineers, fostering knowledge-sharing cultures and continuous improvement. Comfortable engaging C-suite executives and hands-on technologists alike, this individual bridges strategy and execution, championing agile ways of working while safeguarding quality and compliance. Their blend of strategic vision, technical depth, and empathetic leadership positions them as a catalyst for data-driven transformation and innovation across diverse industries.