workable
MLOps Lead Engineer
Tiger Analytics Inc.
St. Louis, USA
Full-time
Senior · 8+ years experience
Hybrid
Discovered 1 weeks ago
Azure DatabricksAWS DatabricksPySparkMLflowDelta LakeUnity Catalog
Free
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Azure DatabricksAWS DatabricksPySpark
Key Skills for This Role
Azure DatabricksAWS DatabricksPySparkMLflowDelta LakeUnity Catalog
Full Job Posting
Required Qualifications & Experience
- Experience: 8+ years in Data Engineering, Machine Learning Engineering, or DevOps, with 3+ years specifically leading Databricks MLOps/Data platform implementations.
- Core Technical Stack: Advanced proficiency in Azure Databricks / AWS Databricks , PySpark , MLflow , Delta Lake , Unity Catalog , and Python .
- Automation & DevOps: Strong experience building automated CI/CD/CT pipelines using Databricks Asset Bundles (DABs) , Azure DevOps, or GitHub Actions.
- Governance & Security: Deep understanding of enterprise security controls, secret management (Key Vault/KMS), and multi-environment deployment isolation.
- Stakeholder Management: Proven track record in a client-facing technical lead role, with strong communication skills to drive enablement, workshops, and technical handovers.
Benefits
- This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
About Tiger Analytics Inc.
IT Services & Consulting
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