Data Architect

• In this role, you will develop and deliver data architecture solutions tailored to client requirements, ensuring alignment with governance and target operating models. You will work across all aspects of data, analytics, and AI, including strategy, governance, management, architecture, and systems implementation. Collaboration on data transformation projects within financial services will be a key part of your responsibilities, allowing you to implement data systems across the entire project lifecycle. You will utilize frameworks like DCAM and DAMA DMBoK to design data methodologies and lead on advanced topics such as AI, GenAI, MLOps, Business Intelligence, and Data Governance. Additionally, you will apply your expertise in data patterns, including relational databases, data lakes, graph databases, and cloud platforms like AWS, Google Cloud, and Microsoft Azure.

Technologies:

• AWS
• Architect
• Azure
• Business Intelligence
• Cloud
• Databricks
• Security
• Snowflake
• Machine Learning

• I am looking for candidates who have proven experience in financial services, showcasing a strong track record of delivering data-centric solutions. You should possess in-depth knowledge of data architecture patterns, operating models, and key data-centric technologies such as Snowflake, Databricks, and Collibra. Familiarity with compliance frameworks, including GDPR, BCBS239, and the EU AI Act, is essential. Strong communication and stakeholder engagement skills are a must, along with the ability to represent the team at all levels. Additionally, a passion for innovation and a commitment to learning and growth is crucial. Experience in shaping bids and creating compelling proposals will be viewed as a plus. Please note that applicants for this role must be eligible for security clearance.