Senior Solutions Architect

Roles and responsibilities

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.

• 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.

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

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.