AI-Driven Data Architect for Scalable Big Data

Genpact LLC; Jacksonville (FL); On-site; USD 80,000 - 100,000; Full time

Job summary

Genpact LLC is seeking a Data Architect to design and maintain architecture for large-scale data systems. You will develop data strategies, collaborate with cross-functional teams, and optimize storage and performance while ensuring security and compliance.

The role emphasizes cutting-edge AI-enabled data solutions and scalable architectures in a fast-paced environment. The position requires strong background in big data, cloud data architecture, and experience with Databricks.

Qualifications

• Bachelor-level degrees in analytics, CS or stats; Master’s in data science preferred.
• Strong background in big data architectures and data engineering.
• Experience with Databricks platform and data security best practices.

Responsibilities

• Create and maintain architecture for big data systems ensuring performance and reliability.
• Develop and implement data strategies for large-scale solutions.
• Collaborate with cross-functional teams to understand data requirements and design solutions.
• Optimize data storage and retrieval for efficiency and speed.
• Enforce data governance, security, and compliance policies.
• Evaluate new technologies and tools to enhance data architecture and analytics capabilities.

Skills

Big Data Architecture

Cloud Data Architecture

Data Engineering

Databricks Platform

Java

Information Security

Education

Bachelor's in Business Analytics

Bachelor's in Computer Science

Bachelor's in Statistics

Master's in Data Science

Tools

Databricks

Oracle Database

Microsoft Azure

Job description

Genpact LLC is seeking a Data Architect to design and maintain architecture for large-scale data systems. You will develop data strategies, collaborate with cross-functional teams, and optimize storage and performance while ensuring security and compliance.

The role emphasizes cutting-edge AI-enabled data solutions and scalable architectures in a fast-paced environment. The position requires strong background in big data, cloud data architecture, and experience with Databricks.