Data Architect
Datamatics Global Services · Bengaluru · onsite · Posted 44d ago
Undisclosed2–3 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
Position: Data AI Architect
Location: KSA (Onsite)
Duration: 1 Year
Preferred Languages: English; Arabic is a plus
Responsibilities Location: KSA (Onsite)
Duration: 1 Year
Preferred Languages: English; Arabic is a plus
- Design enterprise data architectures including data modeling, data warehousing, and master data management.
- Design AI/ML systems in production environments.
- Develop and manage cloud data platforms (Azure/AWS/GCP) and modern data stack architectures including data lakes, lakehouse, ETL/ELT pipelines.
- Design and oversee AI/ML lifecycle activities including model selection, MLOps, deployment, and monitoring.
- Architect LLM/GenAI solutions including RAG pipelines, vector databases, prompt engineering, and model orchestration.
- Translate business requirements into technical architecture.
- Communicate effectively with engineering teams and executive stakeholders.
- Design APIs and system integrations for interconnected platforms and systems.
- Ensure alignment with data governance and compliance frameworks.
- Support smart-city, government, and enterprise platform initiatives involving multiple stakeholders and integrated systems.
- 8+ years in data architecture, with 2-3+ years designing AI/ML systems in production.
- Strong hands-on experience with cloud data platforms (Azure/AWS/GCP) and modern data stack (data lakes, lakehouse, ETL/ELT pipelines).
- Proven experience designing enterprise data architectures (data modeling, data warehousing, master data management).
- Solid understanding of AI/ML lifecycle: model selection, MLOps, deployment, monitoring.
- Experience with LLM/GenAI architecture (RAG pipelines, vector databases, prompt engineering, model orchestration).
- Experience with data governance and compliance frameworks.
- Ability to translate business requirements into technical architecture and communicate with both engineering teams and executive stakeholders.
- Experience with API design and system integration.
- Data Engineering and Data Architectures - Moderate to Advanced.
- AI Engineering - Basic to Intermediate.
- Strong SQL.
- At least one programming language (Python most common).
Good to Have Skills Domain Compliance
- Direct experience with PDPL, NCA ECC, or NDMO frameworks, or similar.
- GDPR/HIPAA experience.
- AI Advanced Architectures.
- Familiarity with real-time/streaming data architectures (Kafka, event-driven systems).
- Experience with IoT data ingestion (parking sensors, city infrastructure, etc.).
- Enterprise architecture certifications (TOGAF, cloud architect certifications).
- Experience in government, smart city, or public-sector platforms.
- Vendor/multi-stakeholder environment experience (JV, consortium, or large enterprise with multiple business units).
- English (Preferred).
- Arabic language skills are a plus.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Data ingestionarabicapisData Architectapi designdata architectureamazon web servicesBusiness RequirementseltCloud DatadeploymentData EngineeringcloudData WarehousingArchitectureData GovernancecomplianceMicrosoft AzureData ModelingArtificial Intelligence
About Datamatics Global Services
Datamatics Global Services
IT Services & Consulting
5.0k+
employees
1975
51 years old
Mumbai, Maharashtra
India
₹8.3L PA avg
Avg at Datamatics Global Services
About
Datamatics is an IT and BPM service company providing Intelligent Solutions for businesses to increase productivity and enhance customer experience
Industries
IT Services & ConsultingBPO/KPOFinancial Services
Employee ratings
10 reviews
3.3/ 5
Culture
2.5
Career growth
2.1
Work-life
2.7
Employees rate it well for
Work-Life Balance33Overall Company33
Find them on