Specialist Solutions Architect - Data Engineering & Warehousing (Digital Native Business)
Tasks
- Architect production data pipelines
- Conduct load-testing and optimization
- Deliver workshops and technical presentations
- Design Lakehouse architecture
- Design custom customer architecture
- Estimate workload sizing
- Guide enterprise cloud data engineering transformations
- Implement data governance and security
- Lead pre-sales proofs-of-concept
- Migrate enterprise data warehouse workloads
- Perform end-to-end performance testing
- Troubleshoot complex Spark workloads
- Tune advanced database queries
Perks/Benefits
- Conference presentations
- Hackathons
- Mentorship
- Remote work
- Training programs
- Travel up to 30 percent
- Workshops
Skills/Tech-stack
AWS | Anomaly Detection | Apache Kafka | Automated Ingestion | Azure | Cloud platform | Data Governance | Data Modeling | Data Observability | Data Warehouse | Databricks | Delta Lake | Elasticsearch | Google Cloud | Google Cloud Platform | Java | Lakehouse | MPP | Microsoft Sentinel | OLAP | OLTP | Python | Query Tuning | SIEM | SQL | Scala | Spark | Spark Streaming | Splunk | Telemetry
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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