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- 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.
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.
- 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
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.
Essential
Your Skills and Experience
- 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
We work with Textio to make our job design and hiring inclusive.
PermanentSeniority level
- Seniority levelMid-Senior level
Employment type
Job function
- Job functionEngineering and Information Technology
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