Data Solution Architect
Turing • Remote
Company
Turing
Hourly rate
$30 – $65/hr
Location
Remote
Listed
25d ago
- Min. degree:
- Bachelor's
- Field:
- Software Engineering
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We are seeking an experienced Data Solution Architect to lead the design and delivery of compliant, scalable, and value-driven data solutions for governmental and semi-governmental entities in the Kingdom of Saudi Arabia. The ideal candidate has hands-on experience with KSA data regulations, particularly SDAIA frameworks, and has previously delivered compliance-focused data initiatives within the public sector. Strong exposure to Data Governance, Data Value Realization, and enterprise data platforms is highly preferred.
What you'll do
- Design end-to-end data architectures (data platforms, integration, analytics, and AI/ML readiness) aligned with business objectives and regulatory requirements.
- Ensure full compliance with SDAIA regulations, including PDPL, data classification, data sharing, and national data governance frameworks.
- Lead and contribute to data compliance projects for governmental entities, from assessment to implementation and audit readiness.
- Define and implement data governance models, including data ownership, stewardship, data quality, metadata management, and data lifecycle management.
- Drive Data Value Realization by linking data initiatives to measurable business and policy outcomes (KPIs, benefits tracking, and use-case prioritization).
- Architect and oversee enterprise data integration solutions, including batch and near-real-time pipelines.
- Design and govern data platforms and analytical layers to support reporting, dashboards, and advanced analytics.
- Collaborate with business, IT, legal, compliance, and leadership stakeholders to translate requirements into robust data solutions.
- Produce architectural artifacts such as target architectures, solution designs, roadmaps, standards, and policies.
- Support technology selection, integration, and best practices across on-prem, cloud, or hybrid environments.
- Mentor technical teams and contribute to architectural governance and standards.
What you need
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (Master’s preferred).
- 8+ years of experience in data architecture, data engineering, or data solutions within large-scale or regulated environments.
- Proven experience working in KSA, with strong understanding of SDAIA regulations and national data frameworks.
- Demonstrated experience delivering data governance and compliance projects for governmental or highly regulated entities.
- Strong experience in Data Governance and Data Value Realization frameworks and practices.
- Fluency in Arabic (spoken and written) is mandatory; strong professional English required.
- Availability to work on-site in Riyadh.
Nice to have
- Experience with government-scale data platforms and interoperability initiatives.
- Exposure to advanced analytics or AI/ML enablement on enterprise data platforms.
- Certifications such as TOGAF, DAMA-CDMP, Informatica, Cloudera, or Power BI are a plus.
- Strong stakeholder management and communication skills, particularly in government environments.
Job Title: Data Solution Architect
Employment Type: Full-time
Joining Time: ASAPLanguage Requirement: Arabic (Fluent) | English (Professional)
Technical Skills (Mandatory)
- Informatica for ETL and data integration (PowerCenter, IDMC, or equivalent).
- Cloudera data platform for large-scale data processing and analytics.
- Denodo for data virtualization and logical data layer implementation.
- Power BI for enterprise reporting, dashboards, and data visualization.
- Strong understanding of data modeling (conceptual, logical, and physical).
- Experience with data quality, metadata management, and master/reference data concepts.
What We Offer
- Opportunity to work on high-impact national and governmental data initiatives.
- Engagement with senior stakeholders and decision-makers across public-sector entities.
- Competitive compensation package aligned with experience and expertise.
Skills & Categories
Frequently Asked Questions
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What does this Turing role pay? +
Turing lists $30 – $65/hr. Confirm the exact rate and terms in their application.
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The listing is remote. Check Turing's posting for any country or time zone requirements.
Do I need a degree? +
The listing asks for a Bachelor's or equivalent. Turing makes the final call on what counts.
Interview Prep
Sample questions for a Data Architect role, written in-house to help you prepare.
How do you approach designing a data model that needs to support both current reporting needs and future use cases you can't fully predict yet?
I design around the core entities and relationships that are stable regardless of specific reporting requirements, rather than modeling narrowly around today's exact reports, since a model too tightly coupled to current needs tends to require costly rework when new use cases emerge.
What's your process for deciding between a normalized and a denormalized data model for a given system?
I weigh the system's actual read versus write patterns and query performance requirements, using normalization where data integrity and update consistency matter most, and denormalization where read performance for specific known query patterns is the priority, rather than defaulting to one approach universally.
How do you design an architecture that can scale as data volume grows significantly without requiring a full redesign?
I identify the components most likely to become bottlenecks at higher volume, like a single database instance handling both transactional and analytical load, and design those with a clear scaling path from the start, rather than optimizing only for current volume and assuming scaling can be addressed later without disruption.
What's your approach to integrating data from multiple source systems that have inconsistent formats, definitions, or quality?
I establish clear transformation and validation rules at the integration layer rather than pushing inconsistency downstream to whoever consumes the data, and I flag data quality issues from the source explicitly rather than silently normalizing over problems that should actually be fixed at the source.
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