Senior IT Solution Architect – R&D Data Lake (AWS Cloud)
The Senior Solution Architect will play a pivotal role in transforming the R&D Data Lake platform into a modernized and efficient environment.
This transformation involves designing and implementing an architectural framework, establishing a roadmap for platform uplift, and developing a clear migration strategy from the legacy data lake to the new platform. By ensuring seamless integration, continuity, and minimal disruption, this role will empower R&D teams with easier and faster access to critical information.
Your Future Duties and Responsibilities:
* Architectural Assessment & Road-mapping
* Storage Patterns Optimization
* Security & Access Controls
* System Support
* Collaboration & Knowledge Transfer
Required Qualifications to Be Successful in This Role:
* Proven experience in programming languages and tools relevant to data engineering (e.g., Python, Scala).
* Experience with big data technologies like Hadoop, Cassandra, Spark, Hive, and Kafka.
* Proficiency in using querying tools such as Redshift, SparkSQL, Hive, and Presto.
* Demonstrated experience in data modeling, data pipelines development, and data warehousing.
Key Skills and Experience:
* Data Engineering: Proficient in designing, developing, and maintaining large-scale data systems.
* Cloud Computing: Experienced in AWS cloud infrastructure and services.
* Big Data Technologies: Skilled in working with Hadoop, Cassandra, Spark, Hive, and Kafka.
* Data Modeling: Proven expertise in designing and implementing data models for various applications.
About You:
* You have a strong background in data engineering and big data technologies.
* You are experienced in designing and implementing scalable data systems.
* You have excellent problem-solving skills and can work effectively in a team environment.
What We Offer:
* A dynamic and collaborative work environment.
* Opportunities for professional growth and development.
* A competitive compensation package.