We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 37 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Must have Skills : Complex problem solving, Architecture (Capable), Data Modeling (Capable), SQL (Strong)
Job Description :
Requirement Gathering Collaborate with stakeholders to understand business needs and translate them into data requirements.
Conduct workshops and interviews to identify and refine data-driven use cases.
Data Architecture Development Design and implement scalable and efficient data architectures that align with organizational goals.
Develop and maintain data models to represent data structures and relationships, ensuring compatibility with Flexcube and other enterprise systems.
Define and manage data domains, ensuring data integrity, security, and consistency across the organization.
Consolidate the reporting requirements to get into a data mesh architecture Flexcube Expertise ( Good To Have) Leverage Flexcube capabilities for banking and financial data management.
Customize and optimize data solutions in Flexcube for performance and accuracy.
Data Governance and Quality Establish and enforce data governance policies to maintain high-quality data standards.
Ensure compliance with industry regulations and data security best practices.
Collaboration and Leadership Work closely with data engineers, analysts, and business teams to ensure seamless data integration and usability.
Provide guidance and mentorship to team members on data architecture and modeling best practices.
Performance Optimization Identify and resolve data bottlenecks to improve performance and scalability.
Continuously evaluate emerging technologies to recommend improvements to existing data systems.
Skills and Attributes:
Proven experience in data architecture, with a strong emphasis on Flexcube integration and optimization.
Expertise in data modeling techniques, tools, and methodologies.
Deep knowledge of data domains and domain-driven design principles.
Strong analytical and problem-solving skills with experience in requirement gathering and translating them into technical solutions.
Proficient in SQL and other database management systems.
Familiarity with cloud-based data platforms and big data technologies is a plus.
Excellent communication and stakeholder management abilities.
Strong organizational and documentation skills.
Proactive, self-motivated, and a team player.
Ability to handle multiple projects in a fast-paced environment.