
Cloud Native Big Data Architecture Lead
6 days ago
We are seeking a highly experienced and strategic leader to head our Big Data platform team. The ideal candidate will have deep expertise in cloud-native environments, Azure Cloud Services, and Databricks.
Key Responsibilities:
- Lead and mentor a team of data engineers working on large-scale distributed data systems.
- Architect and oversee the development of end-to-end data solutions using Azure Cloud 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 policies.
- Optimize performance and cost efficiency of data infrastructure in the cloud.
Requirements:
- 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 (Data Lake, Data Factory, Synapse Analytics, Blob Storage)
- Databricks (including Delta Lake, MLFlow, Unity Catalog)
- Strong programming experience in Python, Scala, or Java.
- Deep understanding of data modeling, ETL processes, and performance tuning.
- Experience managing Agile teams and delivering complex projects on time.
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