
Data Infrastructure Expert
5 days ago
We are seeking a seasoned Senior Data Architect to spearhead the design, development, and optimization of our modern data infrastructure. This role will be pivotal in evolving our data platform, encompassing database migrations, scalable data pipelines, and governance-ready architectures for both analytical and operational use cases.
The ideal candidate will have a deep understanding of trade-offs between managed services and open-source data stack tools, including cost, scalability, operational overhead, flexibility, and vendor lock-in. Strong hands-on experience with PySpark for writing data pipelines and distributed data processing is also required.
This is an exciting opportunity for a technical leader who can guide the development of complex ETL/ELT pipelines using PySpark and Apache Airflow. The successful candidate will be responsible for designing and implementing scalable and reliable data architectures for real-time and batch processing systems.
Required Skills and Qualifications- 10+ years of experience in data architecture, data engineering, data security, data governance, and big data platforms
- Deep expertise in big data platforms, data lakes, lakehouse architectures, and hands-on experience with modern tools such as Spark clusters, PySpark, Apache Iceberg, the Nessie catalog, and Apache Airflow
- Strong proficiency in SQL, data modeling, and performance tuning
- Ability to perform deep data analysis and compare datasets between systems
- Experience handling 100s of terabytes of data or more
The ideal candidate will have a proven track record of success in leading database migration projects across multiple cloud providers. They will be able to perform deep data analysis and compare datasets between systems, and have experience handling large datasets.
This role offers a unique opportunity for a technical expert to lead the development of our data infrastructure and play a key part in shaping the future of our organization.
OthersThe successful candidate will be able to communicate effectively with cross-functional teams and present complex technical concepts in a clear and concise manner. They will also be able to stay up-to-date with industry trends and emerging technologies, and make recommendations for future improvements to our data infrastructure.
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