Related skills
aws databricks dbt streaming data architecture๐ Description
- Act as the senior technical authority for enterprise data architecture.
- Design cloud-native data platforms with Databricks as a core platform.
- Define target-state architectures for ingestion, storage, and semantic layers.
- Establish standards for scalability, security, resiliency, and cost.
- Architect and guide modern data pipelines using Databricks and dbt.
- Collaborate with client data teams to reuse platform capabilities.
๐ฏ Requirements
- 10+ years in data architecture, data engineering, or enterprise analytics.
- Experience designing and operating cloud-native data platforms.
- Hands-on with AWS data ecosystems and modern analytics stacks.
- Strong in building data platforms enabling AI/ML and advanced analytics.
- Databricks expertise: workspace setup, admin, governance; AWS setup preferred.
- Bachelor's or Master's in CS/Data Eng; cloud/data architecture certs preferred.
๐ Benefits
- Equal Opportunity Employer; Nimble Gravity values diverse applicants.
- US work authorization; no visa sponsorship for this role.
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