Data Architect CI
Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end
to end data driven solutions and fast track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco s cutting
edge ingenuity is brought to life through its Innovation Labs and award winning Be Yourself At Work culture and diverse talent

Job Description

  • Data Strategy Development: Define and implement a comprehensive data strategy for the mobile banking app that aligns with the overall business objectives and technological landscape. This includes data modeling, data governance, data integration, and data storage approaches
  • Data Modeling and Design: Develop conceptual, logical, and physical data models to support the mobile banking application. Ensure models are scalable, performant, and capable of handling real time data processing and analytics needs
  • Data Integration Architecture: Design and oversee the implementation of data integration processes, including ETL Extract, Transform, Load) operations, API data services, and real time data streams, ensuring seamless and efficient data flow across various systems and services
  • Data Governance and Quality: Establish data governance frameworks and data quality standards to ensure the integrity, availability, and privacy of data within the mobile banking ecosystem. Work closely with security teams to implement robust data protection measures
  • Collaboration with Cross Functional Teams: Work closely with development teams, product managers, and business analysts to understand data requirements and deliver a data architecture that meets user needs and business goals. Facilitate the sharing of data knowledge and best practices within the organization

Skills Experience

  • Advanced Data Architecture Knowledge: Deep understanding of data architecture principles, methodologies, and tools. Proficiency in data modeling techniques and familiarity with data modeling tools
  • Experience with Database Technologies: Hands on experience with various database technologies relational, NoSQL, graph databases) and an understanding of their appropriate use cases. Experience with data warehousing and data lakes is highly valued
  • Massive OLTP - must have hands-on experience in design online transaction processing for 2-3 years.
  • Cloud Computing Platforms: Strong experience with cloud services related to data storage, processing, and analytics e g.., AWS, Azure, Google Cloud Platform). Knowledge of cloud native data architecture patterns and best practices
  • Data Governance and Compliance: : Knowledge of data governance frameworks and experience implementing data quality and data protection measures. . Familiarity with regulatory requirements affecting data in the financial services sector..
  • Strong Analytical and Problem--Solving Skills: : Ability to tackle complex data challenges, with a keen eye for details and a strategic approach to problem--solving..
  • Effective Communication and Leadership: : Strong interpersonal and communication skills, with the ability to lead data architecture discussions and influence technical decisions across teams..

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