Principal Architect, Data and Analytics Platform Engineering
Tasks
- Architect and implement scalable data and analytics platforms across multi cloud and hybrid environments
- Collaborate with cross-functional teams on platform capabilities
- Drive automation and DevOps practices for continuous integration and deployment of data services
- Ensure high availability performance and security of data platforms
- Establish data governance metadata management and data quality best practices
- Evaluate and integrate emerging technologies
- Lead design and development of cloud native data pipelines storage solutions and analytics services
- Provide technical leadership and mentorship to engineering teams
Perks/Benefits
Skills/Tech-stack
API Design | AWS | AWS CloudFormation | Alation | Amazon Kinesis | Amazon Redshift | Apache Airflow | Apache Kafka | Apache Spark | Azure | Azure Event | Azure Event Hubs | Azure Synapse | Azure Synapse Analytics | BigQuery | Cloud platform | Collibra | DBT | Docker | ELK Stack | Event Hubs | Google Cloud | Google Cloud Platform | Grafana | Hadoop | Informatica | Java | Kubernetes | Microservices | Prometheus | Python | SQL | Scala | Snowflake | Synapse Analytics | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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