Data Architect

Job Title:Data Architect
About Us
"Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the  British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
MAKE AN IMPACT

ROLE DESCRIPTION
As a Finance Data Architect, you will be at the forefront of designing and developing data architecture solutions in the Finance and Treasury data space. This role is crucial for building a self-service platform for the distribution of trusted data for Finance.
In this role, you'll collaborate with senior stakeholders across the bank, breaking down complex challenges and developing innovative approaches and solutions. You'll be joining an exceptionally talented and supportive team, united by a shared mission to shape the future of data architecture in the financial data space. We offer competitive compensation and the opportunity to make a tangible impact, powered by Capco's recognized brand and industry-leading capabilities.
If you have an entrepreneurial spirit and are passionate about data privacy, we'd love to hear from you. Let's discuss how your expertise can help us push the boundaries of what's possible.
KEY RESPONSIBILITIES
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 theFinancial Servicessector, 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 knowledgeof 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 ofdata architecture standardsand technical documentationusing 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.