Senior Data Architect

As a Data Architect at SBS you will be responsible for designing and maintaining our overall data architecture. You will ensure that our data is well-organized, secure, and easily accessible while overseeing the implementation of data mesh principles. Your role will involve managing data consistency across various domains and integrating data from multiple domains. You will collaborate with cross-functional teams, optimize data performance, and stay abreast of emerging technologies to provide strategic recommendations.

Strong technical ability to visualize & implement cost efficient automation and astute focus on quality will be critical to the success in this role.

Minimum 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.

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.