GHX is seeking an experienced Data Architect with deep technical and hands on expertise and a proven track record in architecting, designing, developing, and delivering high-quality, scalable production software solutions in Data space. Candidate will provide hands on contributions and team leadership for development of next generation of GHX Item Catalog, development of next generation data services such as Mastering and Matching an AI first approach in development of Ops workflows for inspecting and managing data at scale with strong human in loop component, all tied to company’s key strategic initiatives.

Responsibilities

Architect, design and implement scalable, secure, and maintainable software systems that align with business needs, creating flexible, reusable, and efficient solutions. Identify root causes of challenges, analyze upstream and downstream impacts, and recommend impactful, broad-reaching solutions while considering corporate strategy and trade-offs. Lead cross functionality to develop GHX next generation Item Catalog, Data Services and OPs tooling, all key enterprise level initiatives.

Lead cross functional teams to develop AI first approach for Ops Tooling and Data Services, driving both quality improvements and cost reductions tied to enterprise goals.

Requirements

/concerns and create solutions to accommodate. Produce clearly articulated documentation in the form of approach presentations, architecture/design diagrams, wiki content, and epics/features. Establish practical/actionable/production-grade guideline content and use it to guide teams in best practices for architecture, design, development and testing as well as mentoring team members and fostering a collaborative environment.

Build and maintain strong business relationships to influence decision-making and drive innovative solutions across teams.

Qualifications

Requires a minimum of 15 years of experience in architecting, designing and developing enterprise software systems and data services in data space 15+ years of experience designing and implementing technological solutions using Java and/or Python languages within cloud environments. Proficiency in Backend Services and Data architectures/technologies such as MDM, Matching, Sync/Async/Batch Microservices, Ops tooling, Data Replication, Messaging/Eventing, Orchestration/Workflow , API Styles etc Proficient in applying Unit Testing, Code Coverage, API Testing, Performance, Scalability and Resilience aspects/techniques including Tenancy aspects/techniques aspects such as Single-Deployment/Multi-tenant. Proficient with Security aspects/techniques/technologies such as DAST, SAST, Endpoint Security, Secrets Management, Encryption, Logging Aggregation.

Comfortable with Data Governance aspects/techniques/technologies such as Classification, Licensing, Rights, Privacy, Sovereignty, Retention/DLM/ILM, Data Quality, Data Standards, Obfuscation, Catalog, Metadata. Experience working within Agile SDLC environments. Able to work independently and as part of a team on multiple overlapping projects and manifest organizational skills to effectively switch as needed.

Strong problem-solving and communication skills. Knowledge, Skills, and Abilities Proven track record of managing multiple projects and delivering high-quality results with innovation and creativity. Communicates complex technical concepts effectively to diverse audiences, including technical and non-technical teams.

Collaborates seamlessly across departments with varying levels of technical expertise. Demonstrates a strong understanding of system-wide impacts and interdependence across products, teams, and organizations. Develops and implements innovative solutions that challenge the status quo and drive process improvement.

Senior Principal Software Engineer