Senior Data Engineer/Data Architect(AWS / Azure / Databricks with AI & ML)

Job Summary:
We are looking for an experienced Data Architect with strong expertise in Databricks, cloud platforms (AWS & Azure), and AI/ML technologies. The candidate will design scalable data architectures, build modern data platforms, and support machine learning and AI-driven analytics solutions across enterprise environments.

Key Responsibilities

• Design enterprise-scale data architectures using Databricks on AWS and Azure
• Build scalable ETL/ELT pipelines for large-scale structured and unstructured data
• Develop and maintain Data Lake / Lakehouse architectures
• Implement AI/ML data pipelines and model integration workflows
• Work with Apache Spark / PySpark for distributed data processing
• Collaborate with Data Scientists and ML Engineers to deploy AI/ML solutions
• Enable real-time analytics and predictive modeling platforms
• Ensure data governance, security, compliance, and cloud optimization
• Support cloud migration and modernization initiatives
• Lead architecture discussions and define best practices.

equired Skills

• Strong hands-on experience with Databricks (AWS & Azure)
• Expertise in cloud services:
• AWS (S3, Glue, Redshift, Lambda, EC2, IAM)
• Azure (ADF, ADLS, Synapse, Azure SQL)
• Strong experience in Apache Spark / PySpark
• Experience in ML model deployment and MLOps concepts
• Strong SQL, Python, and data modeling skills
• Understanding of data governance and security practices