6 Data Modeling jobs in Oman

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Job Title: Data Management Senior Specialist

Location: Oman

Work Mode: On-Site

Employment Type: Full-Time

Job Brief:

We are seeking a Data Management Senior Specialist to oversee and maintain data management technologies supporting operations and data quality. The role ensures seamless data integration, master data management, and data warehouse environments while maintaining service levels.

Responsibilities:

• Manage daily administration of data management technologies like SSIS, MDS, MDM, Kafka, Python, and Data Lake.
• Oversee data management application upgrades, infrastructure changes, and data migrations.
• Plan and execute installation, configuration, deployment, and integration activities.
• Maintain, patch, and upgrade data management applications.
• Monitor and ensure optimal performance of data management applications.
• Ensure adherence to SLAs, KPIs, ITIL processes, and compliance requirements.
• Build and maintain strong relationships with business teams and IT service providers.
• Document application functionalities, processes, and maintenance procedures.

ETL & Data Integration:

• Develop ETL/replication solutions using Microsoft SQL Server Integration Service (SSIS), Kafka, and PySpark.
• Support and maintain data integration pipelines for periodic and real-time data loads.
• Optimize data processing performance to support near real-time operations.
• Gather business requirements and implement data validation rules.
• Assist data warehouse end-users in understanding and querying data.
• Conduct data quality profiling using SSIS, Kafka, PySpark, and Information Quality Metrics.
• Implement data quality rules for standardization and cleansing.
• Generate data quality reports and support testing processes.

Qualifications:

• Bachelor's degree in Computer Science or related field.
• 7+ years of experience in data management and information systems.
• Strong knowledge of E&P processes, data management, and SQL Server 2019.
• Hands-on experience in SSIS administration, Data Warehouse, and Data Lake environments.
• Proficiency in Linux administration, SQL scripting, PySpark, and Kafka administration.
• Strong problem-solving and organizational skills.

Why Join Us?

• Work with cutting-edge data management technologies.
• Be part of a highly skilled and collaborative team.
• Opportunity to drive data-driven decision-making.
• Competitive salary, growth opportunities, and a great work environment.

If you're passionate about data management and technology, we'd love to hear from you!

Application Instructions:

If you possess the qualifications and are driven to excel in your field, we warmly invite you to apply by sharing your updated resume at or by applying directly through this platform.

Note: While we appreciate every application, only shortlisted candidates will be contacted. Your understanding is appreciated in this regard!

• Mid-Senior level

• Full-time

• Information Technology

• Professional Training and Coaching

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Central Bank of Oman is seeking to Recruit Competent, Committed, Self-motivated and Enthusiastic Omani Candidate as Enterprise Data Architect.

Job Purpose:

The Data Architect will lead the design, development, and implementation of data architecture strategies that ensure the effective management, integration, quality, and security of data across Central Bank of Oman. This role is critical in enabling data-driven decision-making, compliance with regulatory mandates, and advancement of analytics capabilities in alignment with the Central Bank of Oman's strategic objectives.

Key duties and Tasks:

• Develop and maintain CBO's enterprise data architecture framework, including data models, metadata standards, and integration patterns.
• Design and govern robust data pipelines and data stores to support analytics, regulatory reporting, and operational needs.
• Collaborate with internal stakeholders to align data architecture with business requirements, regulatory standards, and IT strategies.
• Lead the design and implementation of data governance practices and metadata management initiatives.
• Establish and enforce data architecture standards, best practices, and policies.
• Assess current data landscape and identify opportunities to improve data quality, consistency, availability, and security.
• Support regulatory compliance by ensuring data architectures accommodate legal, ethical, and industry-specific standards.
• Provide architectural oversight and mentorship to data engineers, analysts, and developers.
• Manage relationships with external vendors or partners providing data-related tools or services.

Minimum Qualifications and Experience:

• Bachelor's degree in computer science, Information Systems, Data Science, or a related field.
• 7 to10 years of experience in data architecture, data engineering, or information management roles.
• Proven experience in designing and implementing enterprise data solutions.

Desirable Qualifications and Experience:

• Master's degree in information management, Data Analytics, or related disciplines.
• Relevant certifications such as TOGAF, CDMP (Certified Data Management Professional), DAMA.
• Experience working in a regulatory or financial services environment.
• Experience with regulatory reporting systems and understanding of financial supervisory data.
• Participation in digital transformation initiatives and large-scale data modernization projects.
• Familiarity with regulatory technologies (RegTech) or supervisory technologies (SupTech).

Please Submit your application before 23 July 2025.

We are seeking an experienced Technology Architect to lead the architecture and implementation of integrated data platforms for a banking client in Oman.

1. Architect and implement highly integrated data platforms aligned with business needs and IT strategy.
2. Deliver gap-fit analysis documents and translate business requirements into solution design artifacts, including banking data models, logical and physical architecture, and integration, infrastructure, and deployment architecture.
3. Design and oversee the implementation of a Unified Service Desktop for front-end integration of banking applications.
4. Define technical and non-functional requirements such as performance, scalability, maintainability, and observability.
5. Collaborate with stakeholders to ensure solutions meet strategic objectives and user needs.
6. Develop and enforce bank-specific architecture principles for data platform implementation.
7. Select and define the technology stack, ensuring compatibility with existing infrastructure.
8. Guide partners in creating the target technical architecture blueprint, adhering to bank guidelines.
9. Understand software limitations and capabilities within the project ecosystem.
10. Define staging environment strategies including development, testing, training, staging, and production environments.

• Over 10 years of experience in enterprise architecture and data platform implementation.
• Strong experience in data platform architecture and integration.
• Experience in financial services domain.
• Proficiency in front-end integration and user experience design for Unified Service Desktops.
• Knowledge of architectural standards, patterns, and frameworks such as TOGAF and Zachman.
• Expertise in data migration, event streaming, real-time integration, and enterprise-scale solutions.
• Ability to lead technical design and implementation, ensuring adherence to standards and business goals.

As the Data Lead / ML Architect, you will be responsible for defining and executing the data and machine learning strategy for our cutting-edge observability platform. You will lead the design, development, and deployment of scalable data pipelines and advanced ML models while mentoring a cross-functional team of data engineers, data scientists, and ML engineers. Your leadership will ensure that our AI-driven features are built on a robust, secure, and high-performance data foundation, enabling real-time analytics and predictive insights for telecom network management.

• Strategic Data & ML Leadership
  • Define and articulate the data architecture and machine learning strategy in alignment with business goals and regulatory requirements.
  • Develop a roadmap for integrating advanced ML models, including generative AI and LLMs, into the observability platform.
  • Establish best practices for data governance, quality, security, and compliance across the organization.
• Design and oversee the implementation of scalable, high-performance data pipelines that support real-time data ingestion, processing, and analytics.
• Architect end-to-end ML pipelines, from feature engineering and model training to deployment and monitoring in production environments.
• Evaluate and integrate cutting-edge data and ML technologies that drive innovation and operational efficiency.
• Lead, mentor, and manage a team of data engineers, data scientists, and ML engineers, fostering a culture of continuous learning and technical excellence.
• Collaborate closely with cross-functional teams (including product management, software engineering, and telecom integration) to align data initiatives with overall product strategy.
• Facilitate technical discussions, code reviews, and knowledge sharing sessions to drive best practices and cross-team collaboration.
• Operational Excellence & Continuous Improvement
  • Implement automated processes for model monitoring, retraining, and performance optimization.
  • Drive initiatives for continuous improvement in data processing, model accuracy, and system scalability.
  • Stay current with industry trends, emerging technologies, and regulatory changes affecting data and ML practices.
• Stakeholder Communication & Documentation
  • Communicate technical strategies, roadmaps, and progress updates to both technical and non-technical stakeholders.
  • Maintain comprehensive documentation of data architectures, ML model designs, and integration processes to ensure transparency and reproducibility.
• Experience:
  • 8–12+ years of professional experience in data engineering, data science, or ML engineering, with a significant track record in leadership roles.
  • Proven experience in architecting and deploying scalable data pipelines and ML models in production, preferably in telecom, enterprise software, or high-volume data environments.
• Technical Skills:
  • Expertise in programming languages such as Python (and relevant libraries: pandas, scikit-learn, TensorFlow, PyTorch) and familiarity with data processing frameworks (e.g., Apache Spark, Kafka).
  • Strong background in designing and implementing data architectures and ML pipelines, with hands-on experience in cloud platforms (AWS, Azure, or GCP).
  • Deep understanding of big data technologies, SQL/NoSQL databases, containerization (Docker, Kubernetes), and CI/CD pipelines.
  • Experience with deploying, monitoring, and managing AI/ML models in real-time applications.
• Leadership & Soft Skills:
  • Demonstrated ability to lead, mentor, and inspire cross-functional teams in an agile environment.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Strong communication skills with the ability to convey complex technical concepts to both technical and non-technical audiences.
  • Proven experience in stakeholder management and strategic planning.
• Education:
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. An advanced degree (MS or Ph.D.) is a plus.

• Experience working on AI-driven products or observability platforms.
• Familiarity with telecom network data, OSS, and real-time data analytics.
• Relevant certifications in data engineering, cloud architecture, or machine learning.

• Competitive Compensation & Equity – We recognize your value with a highly competitive salary and a meaningful equity package.
• Comprehensive Health Coverage – Enjoy top-tier medical insurance to keep you and your loved ones covered.
• Flexibility & Work-Life Balance – Choose where and how you work with hybrid and remote-friendly options.
• Career Growth & Learning – Access to advanced training, mentorship programs, and global industry conferences to accelerate your professional development.
• Impact-Driven Culture – Join an innovative, fast-paced team where your expertise directly influences the future of AI-driven telecom network management.

• Shape the future of digital ecosystems: Be part of a team that's redefining digital ecosystems management to make it intelligent, adaptive, and capable of supporting future demands.
• Innovate for impact: Work on cutting-edge technologies like AI, IoT, and data analytics to address real-world challenges in infrastructure.
• Empower smart cities: Contribute to building the foundation for cognitive cities - urban environments that are resilient, efficient, and adaptable.
• Grow with us: Join a dynamic, mission-driven team that values collaboration, innovation, and growth. We are committed to creating a workplace where you can thrive, learn, and make a meaningful impact.

We are seeking an experienced Technology Architect to lead the architecture and implementation of integrated data platforms for a banking client in Oman.

1. Architect and implement highly integrated data platforms aligned with business needs and IT strategy.
2. Deliver gap-fit analysis documents and translate business requirements into solution design artifacts, including banking data models, logical and physical architecture, and integration, infrastructure, and deployment architecture.
3. Design and oversee the implementation of a Unified Service Desktop for front-end integration of banking applications.
4. Define technical and non-functional requirements such as performance, scalability, maintainability, and observability.
5. Collaborate with stakeholders to ensure solutions meet strategic objectives and user needs.
6. Develop and enforce bank-specific architecture principles for data platform implementation.
7. Select and define the technology stack, ensuring compatibility with existing infrastructure.
8. Guide partners in creating the target technical architecture blueprint, adhering to bank guidelines.
9. Understand software limitations and capabilities within the project ecosystem.
10. Define staging environment strategies including development, testing, training, staging, and production environments.

• Over 10 years of experience in enterprise architecture and data platform implementation.
• Strong experience in data platform architecture and integration.
• Experience in financial services domain.
• Proficiency in front-end integration and user experience design for Unified Service Desktops.
• Knowledge of architectural standards, patterns, and frameworks such as TOGAF and Zachman.
• Expertise in data migration, event streaming, real-time integration, and enterprise-scale solutions.
• Ability to lead technical design and implementation, ensuring adherence to standards and business goals.