{"schemaVersion":"jobsearcher.job.v1","id":"9ba8431ca4ad6921d2c99393","url":"https://jobsearcher.com/jobs/9ba8431ca4ad6921d2c99393","canonicalUrl":"https://jobsearcher.com/jobs/9ba8431ca4ad6921d2c99393","title":"Databricks Architect","description":"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","company":"Isite Technologies","rawCompany":"isite technologies","city":"Ny","state":"WAL","isRemote":false,"isActive":false,"createdAt":"2026-04-22T19:08:27.510Z","occupations":[{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Databricks Architect","description":"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","datePosted":"2026-04-22T19:08:27.510Z","dateModified":"2026-04-22T19:08:27.510Z","hiringOrganization":{"@type":"Organization","name":"Isite Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Ny","addressRegion":"WAL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9ba8431ca4ad6921d2c99393"},"url":"https://jobsearcher.com/jobs/9ba8431ca4ad6921d2c99393"}}