Lead Data Architect

Presently we are unable to sponsor and request applicants to apply who are authorized to work without sponsorship*Employment TYPE: Contract W2 & Contract Independent - NO C2CJob Title: Data EngineeringLocation: Manhattan, NY - OnsiteAbout BCforwardBCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.Job DescriptionWe are seeking a Data Engineer to join our team. The ideal candidate will have strong experience in Data application development, Agile delivery, and modern CI/CD practices and a proven ability to design, build, test, deploy, and maintain reliable data-intensive software.Responsibilities:Design, develop, test, deploy, and maintain Big Data applications and services.Apply multiple design techniques to build scalable and maintainable solutions.Work within Agile frameworks and participate in sprint ceremonies.Implement Continuous Integration and Continuous Delivery pipelines.Practice Test Driven Development to ensure code quality and reliability.Develop cloud-ready applications with attention to resiliency and security.Collaborate across software engineering disciplines including analysis, development, testing, and deployment.Required Skills & Qualifications:Proficiency in Big Data development and toolsets (e.g., Hadoop, Greenplum, or similar).Strong understanding of Agile methodologies and common frameworks.Hands-on experience with CI/CD, TDD, cloud development, resiliency, and security practices.Proficiency in one or more general-purpose programming languages (e.g., Java, Python, or Scala).Working knowledge across software engineering disciplines from analysis through maintenance.Preferred Skills:Experience with distributed data processing, performance tuning, and data pipelines.Background in Agile/Scrum delivery with tooling for backlog and release management.