Master Data Architect
2 weeks ago
About the Role
Rakuten Symphony, a pioneering force in mobile connectivity, seeks an experienced and strategic data architect to spearhead our transformative initiatives. As a key member of our team, you will be responsible for driving architectural decisions, optimizing data pipelines, and leading a high-performing team of data engineers to achieve technical excellence.
About Us
We are committed to shaping the future of mobile connectivity in a collaborative and growth-driven environment. Our team is dedicated to innovation, and we offer a unique opportunity to make a direct impact on cutting-edge projects.
Key Responsibilities
- Design and implement high-availability and fault-tolerant data architectures capable of handling complex, distributed data systems.
- Define, guide, and refine architecture for data processing, pipeline design, and data storage solutions to support advanced analytics and real-time decision-making.
- Oversee the design, development, and optimization of large-scale ETL and ELT pipelines.
- Ensure seamless integration of diverse data sources using modern tools and technologies, enhancing data ecosystem efficiency and robustness.
- Lead, mentor, and develop a high-performing team of data engineers, fostering collaboration and continuous learning.
- Act as a technical leader, promoting best practices in data engineering, including coding standards, quality checks, and performance tuning.
- Supervise root cause analysis and troubleshoot production issues to ensure data accuracy, availability, and performance.
Required Skills and Qualifications
We are seeking a highly skilled professional with 12-20 years of experience in data engineering, software engineering, or related fields, with a proven track record in large-scale, high-volume data environments. Key qualifications include:
- Prior experience in a senior or head-level data engineering role, with demonstrated leadership capabilities.
- Mastery of NiFi, Apache Spark, and distributed data ecosystems.
- Strong expertise in Java and Scala programming languages for data applications.
- In-depth experience with NoSQL databases, Presto, NiFi, Airflow, and complex SQL queries.
- Proficiency in Data Modeling for both SQL and NoSQL data stores.
- Hands-on experience in Kubernetes application development and K8s-centric applications.
- Experience with ETL pipeline development in public cloud environments (AWS, Azure, Google Cloud) is a strong advantage.
- Knowledge of POSTGIS and GeoSpark for geospatial data processing is beneficial.
- Familiarity with Spring Framework for web application development.
Salary Information
This role offers a competitive salary range of $120,000 - $250,000 per year, depending on experience, plus additional benefits and bonuses.
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