Senior Data Architect

2 days ago

Muscat, Muscat, Oman beBee Careers Full time
About the Data Lead Role

As a senior data professional, you will be responsible for defining and executing the data strategy for our cutting-edge observability platform.

Key Responsibilities:
  • Data Architecture and Strategy
    • Create and implement a comprehensive data architecture that aligns with business goals and regulatory requirements.
    • Develop a roadmap for integrating advanced machine learning models into the observability platform.
    • Establish best practices for data governance, quality, security, and compliance across the organization.
  • Data Pipelines and Machine Learning
    • Design and oversee the implementation of scalable data pipelines that support real-time data ingestion, processing, and analytics.
    • Architect end-to-end machine learning pipelines, from feature engineering and model training to deployment and monitoring in production environments.
    • Evaluate and integrate cutting-edge data and machine learning technologies.
  • Team Leadership and Collaboration
    • Lead, mentor, and manage a team of data engineers, data scientists, and machine learning engineers, fostering a culture of continuous learning and technical excellence.
    • Collaborate closely with cross-functional teams to align data initiatives with overall product strategy.
  • Operational Excellence and 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.
  • Requirements:
    • Experience
      • 8–12+ years of professional experience in data engineering, data science, or machine learning engineering, with a significant track record in leadership roles.
      • Proven experience in architecting and deploying scalable data pipelines and machine learning models in production environments.
    • Technical Skills
      • Expertise in programming languages such as Python and familiarity with data processing frameworks.
      • Strong background in designing and implementing data architectures and machine learning pipelines, with hands-on experience in cloud platforms.
      • Deep understanding of big data technologies, SQL/NoSQL databases, containerization, and CI/CD pipelines.
    • Leadership and 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.
    What We're Looking For:
    • Experience working on AI-driven products or observability platforms.
    • Familiarity with telecom network data, OSS, and real-time data analytics.
    About This Opportunity
    • Shape the future of digital ecosystems by working on cutting-edge technologies like AI, IoT, and data analytics.
    • Innovate for impact by addressing real-world challenges in infrastructure.
    • Contribute to building the foundation for cognitive cities - urban environments that are resilient, efficient, and adaptable.

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