SmartOSC Corp
Data Architect
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
United Arab Emirates
Work mode:
Remote
Published on:
21 September 2026
What they need
Company Description
SmartOSC is a global digital transformation agency with 20 years of expertise and a team of over 1,000 professionals. Headquartered in Hanoi, Vietnam, the company has a presence in countries including Australia, Singapore, Japan, Thailand, Indonesia, the UAE, Korea, the US, and the UK. Recognized for its deep experience in eCommerce and Fintech, SmartOSC partners with leading brands and financial institutions to deliver scalable and cost-effective enterprise projects. Known for its focus on innovative solutions, SmartOSC enables faster go-to-market strategies for its clients worldwide. Visit https://www.smartosc.com for more details.
Role Description
We are seeking an experienced Enterprise Data Architect to design, govern, and evolve the organization's data architecture in alignment with enterprise architecture standards (TOGAF) or other frameworks. The ideal candidate will bridge business requirements with scalable, well-governed data models across operational and analytical systems.
Location: UAE or KSA
Key Responsibilities
- Develop conceptual, logical, and physical data models aligned with business capabilities and enterprise standards.
- Understand Data Architecture activities within the TOGAF ADM, producing artifacts such as Data Entity/Business Function matrices, Application/Data (CRUD) matrices, and conceptual/logical data diagrams.
- Partner with business stakeholders to translate business processes and requirements into data domains, entities, and relationships.
- Define and enforce data governance standards: data ownership, stewardship, quality rules, and master data management (MDM) practices.
- Design dimensional models for analytics and data warehousing initiatives, and normalized models for transactional systems.
- Establish and maintain an enterprise data dictionary/glossary and metadata catalog.
- Evaluate and rationalize data flows and lineage across source systems, integration layers, and target platforms.
- Collaborate with application architects, data engineers, and BI teams to ensure models translate cleanly into physical implementations (SQL DDL, warehouse schemas, APIs).
- Assess data quality issues at the source and define remediation/standardization strategies.
- Guide architecture decisions on normalization vs. denormalization, SCD strategies, and data domain boundaries.
- Present architecture recommendations to senior stakeholders and architecture review boards.
Qualifications
- 10+ years of experience in data modeling, data architecture, or a related field.
- Strong knowledge of ER modeling, normalization (1NF–3NF/BCNF), and dimensional modeling.
- Practical experience with TOGAF or another enterprise architecture framework (TOGAF certification preferred).
- Experience with Master Data Management (MDM) and data governance frameworks.
- Proficiency in SQL and hands-on experience with relational databases and/or cloud data warehouses (Databricks, Snowflake, BigQuery, Redshift, etc.).
- Experience with data modeling tools (ERwin, ER/Studio, dbdiagram.io, Lucidchart, or similar).
- Familiarity with data cataloging/metadata management tools.
- Strong stakeholder communication skills — ability to translate between business language and technical models.
- Fluent in English.
WHY JOIN US
At SmartOSC, we offer you the best to help you grow:
● Attractive salary package: up to USD 13,500/month
● Performance review at least once a year
● Flexible working hours
● Work in an international environment with teams located in 8 countries
● Professional English environment
● Deep insight into E-commerce, digital banking and enterprise-level retailers in various countries: Singapore, Thailand, US, UK, Australia,...
Application Information
Interested candidates are invited to submit their CV / Résumé in English to [email protected]
Job Types: Full-time, Permanent
Pay: AED37,000.00 - AED50,000.00 per month
Work Location: Remote
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