Lead Data Architect

What You’ll Be Doing

• Strategic Leadership: Develop and implement the strategic roadmap for data architecture across Nexus, ensuring alignment with business objectives and technological advancements.

• Team Leadership & Mentorship: Lead and mentor a team of Data Solution Architects ensuring they are equipped to deliver high-quality, scalable data models and solutions.

• Collaboration: Partner closely with stake holders, enterprise architects, and department head to ensure the data architecture strategy supports business goals and objectives.

• Technical Guidance & Oversight: Provide hands-on technical leadership for the team, ensuring high standards in the design, development, and implementation data architecture.

• Data Governance & Compliance: Ensure data governance and compliance with regulatory requirements, data security standards, and best practices in data quality.

• Architectural Oversight: Serve as the ultimate approver for architectural designs, ensuring they are scalable, secure, and aligned with the organization's data strategy.

• Cross-Functional Collaboration: Work across business units and IT teams to ensure data architecture aligns with current and future reporting and analytical requirements.

• Stakeholder Engagement: Regularly engage with stakeholders across the business, from technical teams to senior leadership, to present roadmaps and strategic initiatives.

• Resource Allocation & Project Management: Oversee project timelines and resource management, ensuring data solution architecture initiatives are completed on time, within scope, and deliver business value.

Your Skills and Experience

Essential

• Proven Leadership in Data Solution Architecture: Extensive experience leading data solutions architecture teams and driving the development of enterprise-wide data platforms.
• Strategic Vision: Demonstrated ability to develop and execute a forward-thinking data architecture strategy that aligns with business and technological goals.
• Cloud-Native Expertise: Strong knowledge of cloud-native data architectures, particularly within AWS, Azure, or Snowflake environments.
• Data Governance & Compliance: Deep understanding of data governance, compliance frameworks, and ensuring the integrity of data systems.
• Architectural Design & Review: Experience designing, reviewing, and approving data architecture models and solutions at a large scale.
• Experience with Financial Services: Familiarity with data challenges in financial services or other regulated industries, particularly around credit cards or payment solutions.
• Stakeholder Management: Proven track record of communicating and working effectively with senior stakeholders, technical teams, and business users to drive alignment.
• Data Solutions Expertise: In-depth knowledge of enterprise data solutions, including data warehousing and  data modelling.
• Agile & Waterfall Methodologies: Familiarity with both agile and waterfall methodologies for managing large-scale data projects.

Desirable

• Experience in a financial service specially Credit Cards or regulated industry
• Working on cloud technologies (AWS, Azure, Snowflake)
• Experience on Stream Data processing and tools like Confluent Kafka
• Experience of design to handle similar data from various sources
• Design experience on Data Vault, Data Lake and Mart technologies in Cloud
• Experience using advanced SQL functions and query performance tuning
• Experience of design within a data science environment (AWS S3/ Jupyter notebooks)
• Experience of ETL technologies (e.g. AWS Glue, Informatica)
• Experience of Data Catalogue tools (e.g. Atlan, Collibra, Informatica)
• Working experience on data analysis/discovery languages like R, Python

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