About the Role
The role of an Enterprise Data Architect involves senior-level visioning to translate business requirements into technology specifications while defining data standards and principles. The data architect is tasked with visualizing and designing an enterprise data management framework. This encompasses the processes necessary for planning, specifying, enabling, creating, acquiring, maintaining, using, archiving, retrieving, controlling, and purging data. Furthermore, the data architect will provide a standard common business vocabulary, express strategic requirements, outline high-level integrated designs to meet those needs, and ensure alignment with enterprise strategy and related business architecture.
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Responsibilities
- Facilitate the establishment and execution of the roadmap and vision for information delivery and management, covering enterprise data warehouse, big data, BI & analytics, content management, and data management.
- Translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses.
- Collaborate with data engineers to architect and deliver solutions that meet business information needs and align with the information vision and strategy.
- Drive technology strategy while applying business strategy to balance short-term and long-term needs, ensuring that architecture is scalable and adaptable.
- Employ an end-to-end approach to connect all data components and leverage available assets for effective data delivery.
- Provide advice, guidance, direction, and authorization for major plans and procedures to meet schedule, performance, and budget targets.
- Engage in the performance management process, including timely goal setting, interim, and year-end reviews, while soliciting ongoing feedback.
- Define the data architecture framework, standards, and principles, covering modeling, metadata, security, reference data, and master data.
- Create various data architecture artifacts, such as conceptual, logical, and physical data models, along with integration catalogs.
- Establish a reference architecture and define data flows across the organization to manage data transitions effectively.
- Collaborate and coordinate with multiple departments, stakeholders, partners, and external vendors.
Requirements
- 5-8 years of experience in the data architecture domain.
- Strong expertise in assessing current data architecture, identifying gaps, and addressing challenges.
- Proven track record of gathering and translating business requirements into actionable data architecture designs.
- Extensive experience developing reference data architecture frameworks.
- Proficient in documenting both current-state and target-state data architectures.
- Knowledgeable in selecting data principles, understanding industry trends, and applying standards to architecture decisions.
- Familiarity with data integration technologies, patterns, and best practices.
- Hands-on experience with data processing tools (ETL/ELT) and modern storage solutions, such as data lakes and lakehouses.
- Proficient in data modeling tools like ERwin and ARIS.
- Strong background in business process modeling and alignment with enterprise strategies.
- In-depth understanding of Saudi Arabia's national regulatory requirements (NDI, NDMO, QIYAS, NORA) and compliance practices.
- Advanced SQL skills with experience in relational and distributed database systems, including SingleStore and Vitess.
- Experience with NoSQL databases, such as Cassandra, MongoDB, Neo4j, Elasticsearch, and the ELK Stack.
- Bachelor's degree in Computer Science or Information Systems.
- Proficiency in English and Arabic.
Additional Information
- Business Unit: Data & Intelligence.
- Level: Mid - Senior Level.
- Contract type: Permanent.
