Cloud Data Architect for Tiger Analytics
2 days ago
About the Role:
We are seeking a skilled Cloud Data Architect to join our team at Tiger Analytics.
Key Responsibilities:
- Analyze, architect, design, and actively develop cloud data warehouses, data lakes, and other cloud-based data solutions in GCP.
- Design and develop scalable data ingestion frameworks to transform a variety of datasets.
- Innovate cloud-native data solutions such as database structures and functional capabilities, security, backup, and recovery specifications.
- Build and maintain data integration utilities, data scheduling, and monitoring capabilities, and source-to-target mappings and data lineage trees.
- Implement and manage production management processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points.
- Lead technical teams to deliver projects and accomplish business and IT objectives.
Requirements:
- 10+ years of data engineering and/or data warehousing experience.
- 4+ years of deep experience in building GCP data solutions using services such as storage, virtual machines, serverless technologies, parallel processing technologies, auto-scaling etc.
- Background in data with experience in architecture, data modeling, data engineering, and data governance using all different types of databases.
- Working knowledge of agile development including DevOps concepts
- Experience with GCP SDKs and programmatic access services
- Proficient in a relevant data/development language for cloud platforms (e.g. R, Python, Java, C#/Unix)
- Proficient in SQL
What We Offer:
Tiger Analytics offers a competitive salary range of $180,000 - $220,000 per annum, depending on experience.
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