Data Scientist - Databricks Architect

We are seeking an experienced Data Scientist / Data Science Architect with strong expertise in Databricks, advanced analytics, machine learning, and cloud-based data platforms. The ideal candidate will have hands-on experience designing scalable data science solutions and architecting end-to-end machine learning and analytics platforms using Databricks.

The candidate will work closely with data engineering, analytics, and business teams to develop and implement enterprise-grade data science solutions., * Design and architect scalable Data Science and Machine Learning solutions using Databricks.

• Develop and implement advanced analytics, predictive modeling, and machine learning solutions.
• Provide technical leadership for Databricks-based data science and ML platforms.
• Build and optimize data pipelines, feature engineering workflows, and ML workflows.
• Work with Apache Spark, PySpark, Python, SQL, and Databricks for large-scale data processing and analytics.
• Design end-to-end ML solutions including data preparation, model development, training, validation, deployment, and monitoring.
• Collaborate with Data Engineers, Data Architects, ML Engineers, and business stakeholders.
• Apply best practices for data governance, security, scalability, performance, and cost optimization.
• Work with MLflow and MLOps practices for model lifecycle management.
• Evaluate new technologies and recommend appropriate data science and analytics architectures.
• Provide technical guidance and mentorship to data science and engineering teams.

• 12+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related fields.
• Strong experience with Databricks and cloud-based data platforms.
• Architect-level experience designing data science / machine learning solutions.
• Strong hands-on experience with Python, PySpark, SQL, and Apache Spark.
• Strong understanding of machine learning algorithms, statistical modeling, and predictive analytics.
• Experience with MLflow, MLOps, model deployment, and model lifecycle management.
• Experience working with large-scale structured and unstructured datasets.
• Strong understanding of data engineering and modern data architecture concepts.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong communication, problem-solving, and technical leadership skills.

Preferred Skills

• Databricks certifications.
• Experience with Delta Lake, Unity Catalog, Delta Live Tables (DLT), and Databricks Workflows.
• Experience designing enterprise-level AI/ML platforms.
• Knowledge of Generative AI, LLMs, NLP, or deep learning.
• Experience with CI/CD, Docker, Kubernetes, and automated ML deployment.
• Experience with data governance, security, access control, and compliance., Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field preferred.