Senior Solutions Architect

The CDP Solutions Architect will oversee the technical development and implementation of a centralized data platform specifically designed to support eInvoicing. This role requires technical architecture expertise, requiring a seasoned IT professional skilled in data management, systems integration, and compliance with industry standards.
Skills

• Strong understanding of network architecture, server infrastructure, and security principles.
• Experience working with API management systems and web services implementation experience.
• Strong understanding of project management principles and practices.
• Demonstrated experience in leading large-scale IT projects and cross-functional teams.

Experience in rollout of data analytics platform is critical
Minimum:
Educational Qualifications and Certifications
Bachelor’s degree in information technology, or a related field.
Preferred:
Certified Information Systems Security Professional (CISSP)
ITIL Foundation Certification
Certified Information Systems Auditor (CISA)
Cloud certifications such as Microsoft Certified: Azure Solutions Architect Expert
The Open Group Architecture Framework (TOGAF) Certification
Work Experience Minimum:
15+ years of proven experience as a technology architect, system designer, or similar role.
Preferred:

• Experience working on eInvoicing is an advantage
• Cloud Technologies: Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for hosting and scaling CDP solutions.
• Data Integration: Expertise in integrating different data sources using APIs, ETL tools, and batch processing.
• Big Data Technologies: Familiarity with big data processing tools like Apache Hadoop, Spark, Kafka, or Flink to process large volumes of customer data.
• Data Warehousing: Experience with data warehouses and databases (e.g., Amazon Redshift, Google BigQuery, Snowflake) to store and analyze large datasets.
• Database Management: Experience with relational databases (SQL), NoSQL databases (MongoDB, Cassandra), and graph databases for managing diverse data types.
• Data Pipelines: Proficiency in creating and managing data pipelines, using tools like Apache Airflow, Talend, or DBT.

• Architecting CDP Solutions:

  • Design Platform Architecture: Design and build the architecture of the CDP to ensure it integrates seamlessly with the organization's existing systems, including CRM, marketing automation platforms, data warehouses, and analytics tools.
  • Data Modeling: Develop data models that can aggregate data from multiple sources into a unified format, ensuring that customer data is accurately represented.
  • Data Ingestion: Define processes and frameworks for efficiently ingesting customer data from various sources such as transactional systems, websites, social media, email, and third-party sources.
  • Customer Segmentation: Develop the architecture to support customer segmentation and personalization capabilities based on data insights, such as behavioral, demographic, and transactional data.

• Integration and Interoperability:

  • System Integration: Ensure the CDP integrates smoothly with various systems (CRM, email marketing tools, analytics platforms, etc.) to allow for seamless data flow.
  • API Management: Design and implement APIs and integration mechanisms that allow external systems to interact with the CDP, either for data exchange or for triggering actions based on customer behavior.
  • Data Synchronization: Establish methods for keeping data synchronized between the CDP and other systems in real-time or batch processes.

• Data Governance and Security:

  • Data Privacy: Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) by implementing necessary security and consent management practices within the CDP.
  • Data Governance: Define rules for data quality, consistency, and integrity. Develop strategies for handling duplicate data, data cleansing, and monitoring data accuracy.
  • Security: Implement security measures to protect sensitive customer information, ensuring that only authorized personnel can access or modify data.

• Platform Performance and Scalability:

  • Scalability: Design the architecture to be scalable, ensuring that the platform can handle increasing volumes of data as the business grows.
  • Optimization: Continuously monitor and optimize the platform’s performance, ensuring fast data retrieval, processing, and reporting even as the data volume increases.
  • Cloud Infrastructure: Leverage cloud technologies (e.g., AWS, Azure, Google Cloud) to provide a flexible and cost-effective infrastructure for CDP solutions, ensuring high availability and disaster recovery.

• Implementation and Deployment:

  • Solution Deployment: Oversee the end-to-end deployment of the CDP, ensuring it aligns with business objectives and integrates effectively with existing systems.
  • Customization: Tailor the CDP to meet specific business requirements, customizing workflows, user interfaces, and reporting capabilities.
  • Collaboration: Work with business stakeholders, including marketing, data science, and IT teams, to ensure the solution meets business objectives and aligns with the broader digital transformation strategy.