
Cloud Data Architect
19 hours ago
Our organization is seeking an experienced Engineering Manager to lead our Big Data and Azure teams.
About the Role:
As a seasoned professional, you will be responsible for designing and delivering scalable data pipelines and analytics platforms on Microsoft Azure and Databricks.
The ideal candidate will have expertise in cloud-native architecture, data modeling, ETL/ELT processes, and performance tuning.
Key Responsibilities:
- Lead 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 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 policies.
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.
- Excellent problem-solving, leadership, and communication skills.
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