Senior Data Architecture
Job Description
- Lead the design and development of current and future data platform solutions, ensuring alignment with Enterprise Architecture, digital transformation objectives, and best practices. This includes developing conceptual and logical data models, defining Source-to-Target Mapping, implementing data integration solutions with external entities and new source systems, evaluating the data ecosystem, and establishing technical roadmaps and architectural standards.
- Oversee the implementation, enhancement, and governance of data platforms by managing development and testing environments, driving continuous improvement initiatives, documenting and enforcing data management standards, reviewing and approving database and model changes, validating data across different layers, handling technical incidents, ensuring operational readiness, optimizing performance, and maintaining platform integrity across all data layers and source systems.
- Collaborate with cross-functional teams to support technical updates, ensure effective knowledge transfer, participate in design committees, assess the impact of changes on data quality and structural standards, study and document new data sources, enable advanced platform capabilities to maximize business value, and conduct periodic evaluations to ensure alignment with organizational goals and data architecture best practices.
Requirements
Requirements
- Bachelor’s degree in Information Security, Computer Science, Data Management, or a related field.
- 10–15 years of experience in Data Architecture, Data Engineering, or related roles, including senior/expert-level responsibility for enterprise data platforms.
- Strong responsibility and task ownership, with the ability to deliver high-quality work within required timelines.
- Excellent analytical thinking skills, with the ability to evaluate challenges using available data and provide effective recommendations.
- Customer-centric mindset, able to meet current and future needs of internal and external stakeholders.
- Commitment to delivering high-quality work on time.
- Ability to innovate, enhance processes, and adopt new technologies and ideas.
- Continuous improvement mindset with a strong sense of self-development and capability enhancement.
- Strong teamwork and collaboration skills to achieve shared objectives.
- Effective communication skills, able to convey ideas clearly and professionally.
- Deep understanding of the data management and engineering lifecycle, including data sourcing, engineering, analytics, and reporting.
- Knowledge of AI technologies, including model development, training, monitoring, and maintenance.
- Ability to deliver BI and analytics reports and translate data into insights for decision-makers.
- Proficiency in software design and system integration, ensuring compatibility and interoperability across components.
- Strong stakeholder management skills, able to align expectations and build shared goals.
- Advanced problem-solving capabilities using analytical and technical approaches to prevent recurring issues.
- Strong research and innovation mindset, applying scientific and creative thinking to improve data products, services, and processes.
- Preferred Professional Certifications:
- Certified Data Management Professional (CDMP)
- Certified Analytics Professional (CAP)