Technical Lead, Data Modernization & AI Engineering

Syncreon Consulting • Dallas, TX

1d

About The Position

This role focuses on designing and implementing modern data transfer methodologies to load data into a modern OLTP system. It involves leveraging AI for faster migration, efficient data reconciliation, and smooth user transition. The position requires partnering with internal collaborators and building strong stakeholder relationships across various teams including architecture, security, networking, platform, and application teams.

Requirements

• 10 years of hands-on experience in application development.
• 8 + years of hand-on experience in languages and frameworks including Java or Python.
• 3+ years of backend service development, including RESTful API design and implementation.
• Practical experience integrating AI/ML solutions into data pipelines, complex migrations, and system reconciliation.
• Proven hands-on experience with Apache Kafka (installation, configuration, development).
• Strong knowledge of data streaming concepts and distributed systems.
• Hands-on experience with multiple technologies like APIs, Microservices, Event Streaming, Logging & Monitoring, Databases (SQL, NOSQL), Containers, Serverless Frameworks, DevOps, etc.
• Bachelor’s degree in computer science or equivalent experience required

Nice To Haves

• Familiarity with cloud platforms (AWS mainly) and containerization (Docker, Kubernetes) is a plus.
• Background in real-time analytics and event-driven architecture is preferred.
• Experience with CI/CD platforms and related technologies.
• advanced studies/degree preferred.

Responsibilities

• Design and implement contemporary data transfer methodologies that seamlessly load data into a modern OLTP
• Leverage AI for faster migration, efficient data reconciliation, and smooth user transition
• Partner with internal collaborators and develop strong stakeholder relationships across architecture, security, networking, platform, and application teams

What This Job Offers

• Job Type: Full-time
• Career Level: Senior