
Chief Data Architect – Big Data Platforms
5 days ago
We are seeking an experienced Lead to spearhead a team of data engineers working on large-scale distributed data systems. The ideal candidate will have deep expertise in Big Data platforms and cloud technologies.
Key Responsibilities:
- Grow and lead a team of data engineers to design, develop, and deliver scalable data pipelines and analytics platforms.
- Oversee the architecture and development of end-to-end data solutions using Azure Data Services and Databricks.
- Collaborate with cross-functional teams to understand requirements and deliver impactful data products.
- Drive best practices in data engineering, coding standards, version control, CI/CD, and monitoring.
- Ensure high data quality, governance, and compliance with internal and external policies.
- Optimize performance and cost efficiency of data infrastructure in the cloud.
- Stay current with industry trends and emerging technologies.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in software/data engineering with at least 3 years in a leadership or managerial role.
- Proven hands-on experience with Big Data ecosystems (Spark, Hive, Hadoop), Azure Cloud Services, Databricks, Python, Scala, Java, and data modeling.
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