Lead Data Engineer

Company Overview

A leading global enterprise technology organization specializing in AI-powered risk management, cloud engineering, and data-driven digital transformation solutions. With a strong focus on innovation, the company designs and delivers scalable cloud-native platforms, advanced analytics, and intelligent applications using Artificial Intelligence (AI), Machine Learning (ML), Big Data, and modern cloud technologies. Serving enterprise clients across multiple industries, the organization enables secure, high-performance, and future-ready technology solutions through expertise in AWS, Microsoft Azure, Google Cloud Platform (GCP), Databricks, Apache Spark, Snowflake, and distributed computing frameworks.

The company fosters a collaborative Agile culture that encourages innovation, technical excellence, continuous learning, and leadership development while solving complex business challenges at scale.

Is this position for those who possess passionate vision of designing next-generation data platforms and building scalable cloud-native applications? If you enjoy solving complex enterprise challenges using modern data engineering technologies, artificial intelligence, and cloud computing, then you must apply for the opportunity.

Under an exciting opportunity an experienced Lead Data Engineer to contribute to the development of advanced risk management solutions powered by AI and machine learning. Opportunity offers you to work alongside highly skilled engineering professionals in a collaborative Agile environment while delivering innovative technology solutions that support enterprise-wide business transformation.

The in-house engineering team focuses on developing disruptive, intelligent, data-driven platforms that proactively identify and mitigate risks before it impact customers, business operations, or communities. By combining modern cloud technologies, distributed computing, and AI-powered solutions, the team delivers scalable products that drive business value and operational excellence.

• Collaborate with cross-functional Agile teams to design, build, test, deploy, and maintain scalable technical solutions.
• Lead and mentor software engineers working on machine learning platforms, distributed systems, cloud-native applications, and full-stack technologies.
• Design robust data engineering solutions using modern programming languages including Python, Java, and Scala.
• Develop and maintain cloud-based data warehouse solutions using technologies such as Snowflake and Amazon Redshift.
• Build scalable applications utilizing both relational and No
  
  SQL databases.
• Work with distributed computing frameworks and big data platforms to process large-scale datasets.
• Partner with Digital Product Managers and business stakeholders to deliver secure, reliable, and high-performance cloud solutions.
• Perform unit testing, peer code reviews, and performance optimization to ensure high-quality software delivery.
• Stay current with emerging technologies, cloud innovations, AI-powered engineering tools, and modern software development practices.
• Participate in internal and external technology communities while mentoring engineering teams and promoting technical excellence.

• Strong expertise in Data Engineering using Databricks, Apache Spark, Hadoop, Kafka, Hive, EMR, Map Reduce, and cloud data warehouse platforms including Snowflake and Amazon Redshift.
• Proficiency in Python, Java, Scala, and SQL, with hands-on experience in full-stack application development, distributed systems, microservices, and AI/ML-powered software solutions.
• Extensive experience with AWS, Microsoft Azure, and Google Cloud Platform (GCP), along with RDBMS, No
  
  SQL databases (MongoDB, Cassandra, MySQL), UNIX/Linux, Shell Scripting, and real-time data streaming.
• Proven leadership and Agile experience with the ability to mentor engineering teams, perform code reviews, optimize application performance, and deliver secure, scalable enterprise cloud solutions for large-scale data platforms.

• Python, Java, Scala, SQL, Full Stack Development.

• AI-assisted coding tools, Machine Learning, AI-powered software development.

• Lead and mentor engineering teams; collaborate across Agile teams.

• Enterprise data engineering, cloud deployment, code quality, performance optimization.

• Deliver secure, scalable cloud solutions supporting enterprise risk management.

• Bachelor’s or Master’s Degree in a relevant discipline.

Job Type: Full Time

Job Location: New Jersey Richmond Virginia

Work Mode: Onsite / Hybrid / Remote

Experience: 9 years - 15 years

Salary: Negotiable

Relocation Expense: As per company policy

Posting Date: 14 July 2026

Expiry Date: 14 August 2026