Data Scientist – Databricks Architect

Location: Remote
Duration: 12 Months

Job Description

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.

Key Responsibilities

• 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.

Required Skills

• 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.

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field preferred.