
Senior Cloud Data Architect
1 day ago
We are seeking an experienced Cloud Data Engineer Leader to design and deliver scalable data pipelines and analytics platforms.
The ideal candidate will lead a team of talented data engineers, overseeing the development of end-to-end data solutions using Azure Data Services and Databricks. They will collaborate with cross-functional teams to understand requirements and deliver impactful data products.
- Key Responsibilities:
- Lead, mentor, and grow a team of data engineers working on large-scale distributed data systems.
- Architect and oversee the development of data solutions using cloud-based technologies.
- Collaborate with data science, analytics, product, and business stakeholders to deliver high-quality data products.
- Drive best practices in data engineering, coding standards, version control, CI/CD, and monitoring.
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 (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/ELT processes, and performance tuning.
- Experience managing Agile teams and delivering complex projects on time.
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