Data Engineer Leader

As a senior data engineer, you will be responsible for defining and executing the data strategy for our cutting-edge observability platform. You will lead the design, development, and deployment of scalable data pipelines and advanced models while mentoring a cross-functional team of engineers and scientists.

• Strategic Data Leadership:
  • Define and articulate the data architecture in alignment with business goals and regulatory requirements.
  • Develop a roadmap for integrating advanced models into the observability platform.
  • Establish best practices for data governance, quality, security, and compliance across the organization.
• Design and Deployment:
  • Design and oversee the implementation of scalable, high-performance data pipelines that support real-time data ingestion, processing, and analytics.
  • Architect end-to-end model pipelines, from feature engineering and model training to deployment and monitoring in production environments.
• Team Leadership:
  • Lead, mentor, and manage a team of engineers, scientists, and ML engineers, fostering a culture of continuous learning and technical excellence.
• Operational Excellence:
  • Implement automated processes for model monitoring, retraining, and performance optimization.
  • Drive initiatives for continuous improvement in data processing, model accuracy, and system scalability.
• Communication & Documentation:
  • Communicate technical strategies, roadmaps, and progress updates to both technical and non-technical stakeholders.
  • Maintain comprehensive documentation of data architectures, model designs, and integration processes to ensure transparency and reproducibility.
• Qualifications:
  • 8–12+ years of professional experience in data engineering, 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 – We recognize your value with a highly competitive salary.

• 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 digital ecosystems 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.