Position Summary :

We are seeking an experienced Databricks Data Science Solution Architect to provide in-region technical leadership and hands-on development support to an established APAC Data Science team.

This role is focused specifically on the design, development, deployment, and operationalization of data science and machine learning solutions within Databricks. The successful candidate will have strong Python development experience and a demonstrated background building production data science solutions using Databricks capabilities such as Apps, Jobs, Pipelines, model serving Endpoints, MLflow, and related platform services.

This is not primarily a data engineering role. While data preparation and data management are components of the position, the primary responsibility is to guide data scientists on how to architect, build, deploy, and support production-ready data science applications and machine learning models on Databricks.

The individual will work closely with the APAC Data Science team, ModelOps platform teams, data engineers, and business stakeholders to establish effective development patterns and ensure data science solutions are scalable, maintainable, secure, and production-ready.

Education and Experience :

Required :

- Bachelor's degree in Computer Science, Software Engineering, Data Science, Statistics, Mathematics, Engineering, or a related technical discipline.

- 8+ years of experience in software development, data science, machine learning engineering, solution architecture, or related technical roles.

- 3+ years of hands-on experience designing and developing data science or machine learning solutions within Databricks.

- Strong hands-on Python development experience supporting production data science or machine learning solutions.

- Demonstrated experience moving data science models from experimentation or notebooks into production environments.

- Experience working with cloud platforms such as AWS, Azure, or GCP.

Preferred :

- Master's degree in Computer Science, Data Science, Statistics, Machine Learning, Software Engineering, or related discipline.

- Databricks certification.

- Experience supporting enterprise Data Science or Machine Learning teams.

- Experience within insurance, financial services, or another regulated industry.

Required Skills and Abilities :

- Advanced Python development skills with experience developing production-quality data science and machine learning solutions.

- Hands-on experience building and deploying data science solutions within Databricks.

- Experience with Databricks capabilities such as Apps, Jobs / Workflows, Pipelines, Model Serving Endpoints, MLflow, Unity Catalog, and Databricks Asset Bundles.

- Strong understanding of machine learning and data science development workflows.

- Experience deploying predictive models and analytical applications into production.

- Experience converting notebooks and experimental models into maintainable production solutions.

- Understanding of MLOps / ModelOps principles including experiment tracking, model registration, version control, automated testing, CI/CD, deployment, monitoring, and model retraining.

- Experience with Git and modern software development lifecycle practices.

- Experience developing or integrating APIs and application services.

- Ability to troubleshoot Python, Databricks, and machine learning application issues.

- Strong understanding of software engineering principles including modular development, testing, documentation, and source control.

- Ability to mentor and guide experienced data scientists on production development practices.

- Excellent communication skills and the ability to explain technical architecture and development concepts to both technical and non-technical stakeholders.

Preferred Skills :

- Experience with Posit Workbench and Posit Connect.

- Experience with R in addition to Python.

- Experience with Spark and PySpark.

- Experience with REST APIs and microservice architectures.

- Experience with CI/CD tools such as Azure DevOps, Jenkins, GitHub Actions, or similar platforms.

- Experience with model monitoring and observability.

- Knowledge of Generative AI or LLM-based application development within Databricks.

- Experience developing interactive analytical or data science applications.

- Knowledge of enterprise security, governance, and data access controls.

- Experience with insurance, actuarial, risk, or financial-services data science applications.