
Data Architect – Large Scale Distributed Systems
2 days ago
Lead Data Engineer
About the Role:
We are seeking an experienced data engineer with expertise in Big Data platforms, Microsoft Azure, and Databricks. The ideal candidate will lead a team of talented engineers to design and deliver scalable data pipelines and analytics platforms, ensuring high performance, reliability, and security in a cloud-native environment.
- Leads, mentors, and grows a team of data engineers working on large-scale distributed data systems.
- Architects and oversees the development of end-to-end data solutions using Azure Data Services and Databricks.
- Collaborates with cross-functional teams to understand requirements and deliver impactful data products.
- Drives best practices in data engineering, coding standards, version control, CI/CD, and monitoring.
- Ensures high data quality, governance, and compliance with internal policies.
- Optimizes performance and cost efficiency of data infrastructure in the cloud.
- Stays 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 role.
- Proven hands-on experience with Big Data ecosystems, Azure Cloud Services, and Databricks.
- 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.
- Excellent problem-solving, leadership, and communication skills.
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