Lead Data Architect

• Strategic Leadership: Create and drive the data architecture strategy across Nexus, making sure it aligns with business needs and new technology trends.
• Team Leadership & Mentorship: Lead and support a team of Data Solution Architects, helping them deliver high-quality and scalable data solutions.
• Collaboration: Work closely with stakeholders, enterprise architects, and department heads to ensure the architecture supports business goals.
• Technical Guidance & Oversight: Provide hands-on technical leadership to maintain high standards in how data solutions are designed and built.
• Data Governance & Compliance: Make sure data systems meet security, quality, and compliance standards and follow best practices.
• Architectural Oversight: Review and approve all architectural designs to ensure they are secure, scalable, and in line with company strategy.
• Cross-Functional Collaboration: Work with business and IT teams to ensure the data architecture meets current and future reporting and analytics needs.
• Stakeholder Engagement: Communicate regularly with teams and leaders across the business to share updates, plans, and progress.
• Resource Allocation & Project Management: Oversee project timelines and team resources to deliver high-value data architecture work on time and within scope.

Essential

• Experience leading data architecture teams and building enterprise-wide data platforms.
• Ability to create and deliver a clear, long-term data architecture plan.
• Strong knowledge of cloud-based data systems (AWS, Azure, or Snowflake).
• Solid understanding of data governance, compliance, and data quality.
• Skilled in designing and reviewing complex data architecture solutions.
• Experience working in financial services, especially credit cards or payments.
• Comfortable working with senior leaders, business users, and tech teams.
• Strong background in data solutions like data warehouses and data modelling.
• Familiar with Agile and Waterfall project methods.

Desirable

• Experience in credit cards or other regulated industries.
• Hands-on work with AWS, Azure, or Snowflake.
• Knowledge of real-time data tools like Confluent Kafka.
• Experience working with data from many different sources.
• Knowledge of Data Vault, Data Lake, and Data Mart design in the cloud.
• Strong SQL skills and experience tuning complex queries.
• Experience working in data science environments (e.g., AWS S3, Jupyter Notebooks).
• Familiar with ETL tools like AWS Glue or Informatica.

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