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Data Architect
Capco Technologies
posted 4mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Design and develop conceptual, logical, and physical data architectures in line with the organization s Future State Finance Data Asset Strategy.
- Collaborate with Finance business teams to enhance understanding, interpretation, design, and implementation of data architecture solutions.
- Support Finance business and change teams in transitioning to target state data architectures, focusing on improving current data feeds and resolving data issues.
- Develop data architecture schemas that align with Enterprise data models and support Finance Data Assets.
- Contribute to architecture development planning and scheduling.
- Continuously improve the data architecture estate, ensuring adherence to risk management, control measures, security protocols, and regulatory compliance standards.
- Advise and support Finance data architecture requirements for new use cases and data changes.
- Serve as a subject matter expert in Finance data architecture.
- Support Finance adoption and implementation of data architectures to meet strategic data needs.
- Participate in data architecture and data governance forums.
- Coordinate and collaborate with cross-functional teams, change delivery teams, technology teams, and subject matter experts.
- Create and maintain a range of data architecture documents, including architecture requirements, data flow diagrams, data catalogues, data definitions, design specifications, data models, traceability matrices, data quality rules, and more.
- Translate Finance business requirements into data architecture solutions and Finance Data Assets.
- Conduct continuous audits of data architectures and refine them as needed, reporting any challenges, issues, or risks to senior management.
- Ensure Finance data architectures align with Enterprise data models and adhere to Enterprise Architecture principles and standards.
- Seek opportunities to simplify, automate, rationalize, and improve the efficiency of Finance IT and architecture solutions.
- Update and maintain key architecture artefacts, such as Confluence, SharePoint documents, reports, roadmaps, and other domain artefacts.
- Provide data architecture and technical advice, maintaining ongoing relationships.
- Provide timely feedback to ensure that architecture development or modification meets business needs.
- Communicate data architecture solutions to both technical and non-technical audiences, ensuring the communication style is appropriate for the intended audience.
- Support cross-program and cross-group Data Assets execution and delivery strategies, opportunities, and problem resolution.
KEY ACCOUNTABILITIES
- Continuously improve the data architecture estate, ensuring adherence to risk management, control measures, security protocols, and regulatory compliance standards.
- Conduct continuous audits of data architectures and refine them as needed, reporting any challenges, issues, or risks to senior management.
- Ensure Finance data architectures align with Enterprise data models and adhere to Enterprise Architecture principles and standards.
- Provide timely feedback to ensure that architecture development or modification meets business needs.
- Support cross-program and cross-group Data Assets execution and delivery strategies, opportunities, and problem resolution.
THE PREFERRED CANDIDATE WILL:
- Be a self-motivator working in a team of Capco and client colleagues
- Be good at problem solving
- Be comfortable working closely with stakeholders (both technical and non-technical) to perceive new and better ways of working
- Be adaptable and able to work across multiple Business Functions in parallel under pressure to tight deadlines
- Be able to demonstrate strong collaboration skills to align and define strategies that meet the program requirements
MANDATORY SKILLS AND EXPERIENCE
Business
- Minimum of 5 years of experience in data management and architecture within the Financial Services sector, ideally in a Treasury or Finance role, or a related front office environment.
- Demonstrated expertise in designing data architectures (conceptual, logical, and physical ) with appropriate phasing, transitions, and migrations.
- Strong understanding of managing data as a product across various enterprise domains and technology landscapes.
- Solid knowledge of business, data, application, and technology architectural domains .
- Excellent communication skills with the ability to influence and present data architectures and concepts to both technical and business stakeholders.
- Proven ability to work effectively in a matrixed environment, collaborating with data architects from other domains to create shared and reusable data assets.
Technical
- Experience with Agile and Scrum methodologies in a large-scale Agile environment, including active participation in daily standups and progress reporting.
- Knowledge of reference and master data management.
- Proficiency with data architecture tools such as Visual Paradigm, ERwin, PowerDesigner, ER Studio, etc.
- Understanding of data architecture standards and technical documentation using ERD, UML, or BIAN.
- Ability to deliver solutions that provide organizational benefits.
- Strong analytical and problem-solving skills, with the ability to work independently and take ownership of key deliverables.
PREFERRED SKILLS AND EXPERIENCE
- Proven experience in a large, global banking setting is highly valued.
- Familiarity with data standards, governance, strategy, and lineage is a plus.
- Exposure to cloud platforms (GCP, AWS, Azure) and big data solutions is advantageous.
- Knowledge of issue and data quality management, prioritization, business case development, remediation planning, and solution delivery.
- Experience with data governance initiatives like lineage, masking, retention policies, and data quality.
- Strong analytical and problem-solving skills, with the ability to work independently and take ownership of key deliverables.
- Open-minded approach to problem-solving, ensuring pragmatic and effective designs. Familiarity with ETL architectures and tools, including data virtualization and API integration, is desirable.
Employment Type: Full Time, Permanent
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Flexible timing
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