Databricks Architect

Job Role: Databricks Architect – MLOps (Banking / Model Risk Focus)Experience: 12+ YearsLocation: New YorkNote: "Banking and Model Risk and MLOPS is mandatory Skills:We are seeking a Databricks Architect with deep MLOps expertise to lead the design and implementation of scalable machine learning platforms within a banking environment. This role will focus on building production-grade ML pipelines, governance frameworks, and model lifecycle management aligned with model risk management (MRM) standards.Key Responsibilities:• Architect and implement end-to-end MLOps frameworks on Databricks• Design scalable ML pipelines using:o Databricks Workflowso MLflow (experiment tracking, model registry, deployment)o Unity Catalog (governance, lineage, access control)• Build and operationalize:o CI/CD pipelines for ML modelso Automated model training, validation, and deployment workflows• Establish model monitoring and observability (drift, performance, bias)• Implement governance controls aligned with banking / regulatory requirements• Partner with data science, risk, and engineering teams to productionize models• Define best practices for feature engineering, versioning, and reproducibility.Qualifications we seek in you!Required Qualifications• Experience in data/ML engineering or architecture• Hands-on Databricks experience• Strong expertise in MLOps frameworks and production ML systems• Deep experience with:o MLflowo Python (PySpark, Pandas, scikit-learn)o Spark-based data processing• Experience designing enterprise-grade data platforms (lakehouse architecture)• Proven ability to deploy ML models into production environmentsPreferred Qualifications/ Skills• Experience in banking or financial services.• Strong understanding of Model Risk Management (MRM), including:o Model validation workflowso Auditability and documentation standardso Regulatory expectations (SR 11-7, etc.)• Familiarity with:o Feature stores (Databricks Feature Store)o Real-time / batch inference patternso Data governance and lineage tracking