Company Description
SBS is a global financial technology company that’s helping banks and the financial services industry to reimagine how to operate in an increasingly digital world. SBS is a trusted partner of more than 1,500 financial institutions and large-scale lenders in 80 countries worldwide, including Santander, Societé Generale, KCB Bank, Kensington Mortgages, Mercedes-Benz, and Toyota FS. Its cloud platform offers clients a composable architecture to digitize operations, ranging from banking, lending, compliance, to payments, and consumer and asset finance. With 3,400 employees in 50 offices, SBS is recognized as a Top 10 European Fintech company by IDC and as a leader in Omdia’s Universe: Digital Banking Platforms.
Required Skills
- Data Modeling and Lakehouse Design: Strong expertise in data modeling, design, and data integration.
- Data Mesh Architectures: In-depth understanding of data mesh architectures.
- Technical Proficiency: Proficient in dbt, SQL, Python/Java, Apache Spark, Trino, Apache Airflow, and Astro.
- Cloud Technologies: Awareness and experience with cloud technologies, particularly AWS.
- Analytical Skills: Excellent problem-solving and analytical skills with attention to detail.
- Communication Skills: Strong verbal and written communication skills to effectively collaborate with cross-functional teams.
- Leadership: Demonstrated leadership skills with the ability to mentor and guide team members.
- Experience: Proven experience in designing and maintaining data architectures in a complex, multi-source data ecosystem.
What You Will Do
- Design and Maintain Data Architecture: Develop and oversee the overall data architecture to support business objectives and ensure data consistency across domains.
- Implement Data Mesh Principles: Lead the implementation of data mesh principles to manage data as a product, ensuring high-quality, reliable, and discoverable data across various domains.
- Data Security and Accessibility: Ensure data security, governance, and accessibility, maintaining compliance with regulatory requirements and best practices.
- Data Integration: Oversee data integration processes, ensuring seamless data flow across multiple sources, including databases, files, and event streams.
- Collaboration: Work closely with data engineers, data scientists, and other stakeholders to ensure alignment of data architecture with business needs.
- Technology Leadership: Stay updated with emerging data technologies and provide strategic recommendations for adopting new tools and methodologies.
- Performance Optimization: Continuously monitor and optimize data systems for performance, scalability, and reliability.
Why join us:
- Competitive salary and benefits package
- Innovative Environment: Be a part of a forward-thinking company that values innovation and creativity.
- Professional Growth: Opportunities for continuous learning and career development.
- Collaborative Culture: Work in a collaborative and supportive environment with talented professionals.
Total Experience Expected: 14-18 years
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- Experience: Minimum of 10 years of experience in data architecture or a related field, with recent experience of 3 years focused on open lake houses and their tooling ecosystem.
- 5 years of work experience with Data teams in financial services organizations.
- Excellent verbal and written communication skills in English, with the ability to effectively communicate quality concepts to technical (Architects/Developers) and non-technical stakeholders.
Additional Information
Secondary Location:Noida CampusAt our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.All of our positions are open to people with disabilities.
