Vice President, Data Architect

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About CLS:

CLS is the trusted party at the centre of the global FX ecosystem. Utilized by thousands of counter parties, CLS makes FX safer, smoother and more cost effective. Trillions of dollars’ worth of currency flows through our systems each day.

Created by the market for the market, our unrivalled global settlement infrastructure reduces systemic risk and provides standardization for participants in many of the world’s most actively traded currencies. We deliver huge efficiencies and savings for our clients: in fact, our approach to multilateral netting shrinks funding requirements by over 96% on average, so clients can put their capital and resources to better use.

CLS products are designed to enable clients to manage risk most effectively across the full FX lifecycle – whether through more efficient processing tools or market intelligence derived from the largest single source of FX executed data available to the market.

Our ambition to make a positive difference starts with our people. Our values – Protect, Improve, Grow – underpin everything that we do at CLS and define and shape a supportive and inclusive working environment in which everyone is encouraged to be open and forward-thinking.

Job information:

• Functional title – Data Architect
• Department – Technology
• Report to – Director

Job Overview:

Data Architect plays a key role in CLS’s architecture / technology division. Role requires broad knowledge in data architecture and design, with a focus on OLTP, Data Warehouse, Data Reporting, API capability and other database interfaces. This role involves collaborating with cross-functional teams to understand business requirements, providing technical leadership, and ensuring the design meet CLS architectural principles and security standards.

Person should be strong technologist very aware of current developments in technology spectrum.

Key Responsibilities

• Author High Level Solution Design, Solutions Overview and Conceptual Architectures.
• Design and architect solutions based on technical and business requirements.
• Develop and document architecture blueprints and best practices.
• Provide technical leadership on data architecture, data integration and data management to ensure Data Product best practices are supported and implemented effectively.
• Act as a lead Architecture on projects
• Contribute to the development & management of Data Strategy
• Contribute to the continuous improvement of Architecture within CLS
• Contribute to product roadmaps & reference architectures
• Proficient in data architecture, engineering, data platforms and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices.
• Strong Experience in databases (Relational/ No
  
  SQL), Data Integration/ Processing and API design
• Experience developing and delivering data solutions leveraging on-premises and cloud components (AWS, AZURE).
• Ability to communicate solutions to other stakeholders
• Good knowledge of Risk management
• Work closely with other architecture disciplines including Enterprise, Infrastructure and Security, as well Engineering and Operations
• Provide technical guidance to team members and stakeholders.
• Identify & recommend opportunities for efficiency.
• Stay updated on new features and capabilities & best practices.
• Ability to deal with ambiguity and manage diversity.
• Share knowledge with the team and contribute to the organization's learning culture.

Qualifications:

• Proven experience Data Architecting solutions.
• Excellent understanding of reporting and data warehouse systems incl. various industry standard data models
• Industry recognized certifications (such as Togaf, AWS Certified Solutions Architect) in conjunction with application in previous roles are highly desirable.
• Strong understanding of application architecture concepts, principles and best practices.
• Excellent communication and interpersonal skills

Preferred

Skills:

• Experience in Database technologies - MS SQL Server, DB2 , Oracle, Postgres, AWS RDS/ Redshift
• Experience in Data Integration - Messaging (IBM MQ) , AWS DMS, Kafka
• Experience in…