
Big Data Leader – Cloud Architect
6 days ago
Job Title: Data Engineering Lead
About the RoleWe are seeking an experienced and strategic data engineering leader with expertise in Big Data platforms, Microsoft Azure, and Databricks. The ideal candidate will lead a team of data engineers to design and deliver scalable data pipelines and analytics platforms.
This role is perfect for individuals who enjoy leading cross-functional teams, driving best practices, and staying current with industry trends.
Key Responsibilities- Lead and grow a team of data engineers working on large-scale distributed data systems.
- Architect 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.
- Optimize performance and cost efficiency of data infrastructure in the cloud.
- 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.
- Excellent problem-solving, leadership, and communication skills.
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