Data Architecture Strategist

4 weeks ago


London, Greater London, United Kingdom Forsyth Barnes Full time
Job Title: Chief Data Architect

About the Role:

We are seeking a visionary Chief Data Architect to shape our data strategy and drive the evolution of our data infrastructure at Forsyth Barnes, a leading global investment bank and financial services company. Our commitment to innovation and excellence enables us to provide tailored financial solutions that meet the diverse needs of our clients.

Key Responsibilities:

- Define and lead the data architecture strategy, ensuring alignment with the company's overall business strategy, regulatory requirements, and technological advancements.

- Develop and maintain an enterprise data architecture blueprint, including data models, data flows, and integration patterns that support the company's financial products and services.

- Establish and enforce data governance frameworks and ensure compliance with relevant data regulations, such as GDPR, CCPA, and industry-specific standards.

- Evaluate, select, and implement cutting-edge data technologies, tools, and platforms, including cloud-based data solutions, big data platforms, and AI/ML capabilities.

- Lead the integration of disparate data sources, ensuring data quality, consistency, and availability across the organization.

- Design ETL processes and data pipelines to support real-time and batch data processing.

- Work closely with business leaders, data scientists, data engineers, and other stakeholders to understand data needs and translate them into actionable data architecture plans.

- Build, mentor, and lead a high-performing team of data architects and engineers.

- Identify and mitigate risks associated with data architecture, including data security, privacy, and operational risks.

- Continuously monitor and optimize data architecture for performance, scalability, and cost-effectiveness.

Requirements:

- Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.

- Minimum of 10 years of experience in data architecture, data management, or a related field, with at least 5 years in a leadership role.

- Proven experience in financial services or investment banking sectors, with deep understanding of financial products, regulatory requirements, and market dynamics.

- Strong proficiency in data architecture frameworks, data modeling, and data governance practices.

- Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud), big data technologies (e.g., Hadoop, Spark), and database management systems (e.g., Oracle, SQL Server, NoSQL).

- Familiarity with data integration tools (e.g., Informatica, Talend), ETL processes, and API-based data integration.

- Knowledge of AI/ML and advanced analytics tools (e.g., TensorFlow, PyTorch, Tableau, Power BI) is a plus.

- Proven ability to lead cross-functional teams and manage complex projects.

- Strong communication and interpersonal skills, with the ability to influence senior stakeholders and present complex data concepts in business-friendly language.

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