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Strategic Data Engineering Leader
2 weeks ago
This is a critical leadership role that spearheads the development and innovation of scalable data platforms and engineering practices.
Responsibilities- Lead the development and execution of enterprise-wide data engineering strategy aligned with business goals.
- Build and optimize scalable data pipelines and architectures for structured and unstructured data.
- Collaborate across data science, analytics, and business teams to deliver impactful data solutions.
- Implement best practices for data reliability, governance, security, and operational excellence.
- Guide tool and platform selection, driving modernization across cloud-based engineering stacks.
- Mentor and manage high-performing teams while fostering a culture of innovation and continuous improvement.
- Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
- Advanced expertise in building scalable data pipelines using tools such as Spark, Kafka, Airflow, and cloud platforms (AWS, Azure, GCP).
- Proficient in SQL, Python, and modern data architecture practices including data warehousing, lakehouse, ETL/ELT workflows.
- Preferred experience with real-time analytics, ML pipelines, data mesh, CI/CD, and containerized environments (e.g., Docker, Kubernetes), plus relevant certifications.
- Deep understanding of data governance, regulatory compliance, and performance optimization techniques.
- Proven leadership in data engineering across complex, large-scale environments, with strong stakeholder and team management skills.
The ideal candidate will have a proven track record of leading data engineering teams and implementing innovative data solutions that drive business growth.