Description

Architect and implement enterprise-grade data and AI/ML solutions using Databricks.

This role is hybrid.

Responsibilities

• Design scalable, secure Databricks-based AI/ML architectures for advanced analytics.
• Implement integrations for data ingestion and transformation from diverse sources.
• Develop and enforce ModelOps strategies covering lifecycle, governance, and deployment.
• Build self-service frameworks allowing data scientists to train and deploy models independently.
• Lead workshops and POCs to solve complex data challenges.

Required Skills

• 5+ years architecting enterprise data and AI/ML solutions.
• Deep expertise with Databricks and Apache Spark.
• Proficiency with core DevOps tools: Terraform, Git, and Python.
• Experience building and optimizing ETL/ELT pipelines.
• Architecture experience on AWS, Azure, or GCP.
• Understanding of Data Lakehouse architectures and data governance.

Key Skills

Education

Bachelor's or Master's degree in Computer Science