Practicing Data Architect
Tasks
- Architect and document big data and real time data pipelines
- Break solutions into iterative delivery increments and sprint outcomes
- Define Kafka consumer architecture patterns
- Define ingestion and storage patterns for HBase
- Design Kafka based streaming applications
- Design data lake and operational data store solutions
- Ensure solutions are scalable secure supportable and aligned to enterprise architecture
- Identify technical risks dependencies assumptions and non functional requirements
- Lead architecture for ingestion streaming transformation and APIs
- Own end to end solution architecture for distributed data and streaming
- Present solution designs to architecture review boards
- Review engineering technical designs for architecture alignment
Perks/Benefits
- Access to online learning courses
- Career progression opportunities
- Hybrid working
- Mental health champions
- Training and development opportunities
- Wellbeing support
Skills/Tech-stack
AWS | Apache Airflow | Apache Cassandra | Apache Flink | Apache HBase | Apache Hive | Apache Impala | Apache Kafka | Apache NiFi | Apache Spark | Cloudera CDH | Cloudera CDP | Consumer groups | Data Lake | Data Store | Dead Letter | Dead-letter queues | Java | Kafka Consumer | Kafka Consumer Groups | Kafka Offsets | Kafka retries | NoSQL | Operational data | Operational data store | PySpark | Python | REST APIs | Spring Boot | Spring Kafka
Education
N/A
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