Hi,
Please find below the requirement of Solution Technical Lead – Data Lineage & AI Metadata Platform- Charlotte, North Carolina
Job Title: Solution Technical Lead – Data Lineage & AI Metadata Platform
Location: Charlotte, North Carolina
Experience: 15+ Years
Duration: 6 Months
Employment Type: Contract
Job Summary
We are seeking a highly experienced Solution Technical Lead to drive the architecture, technical strategy, and overall solution delivery for an enterprise Data Lineage and AI Metadata Platform initiative.
The successful candidate will be responsible for defining the target-state architecture, establishing technical standards, ensuring solution quality, and leading cross-functional engineering teams throughout the engagement. The role requires strong expertise in data architecture, metadata management, data lineage, ETL/ELT, API integration, and Generative AI/LLM-based solutions.
Key Responsibilities
- Define and own the end-to-end solution architecture and technical roadmap for the Data Lineage and AI Metadata Platform.
- Design canonical data models, metadata models, and metadata frameworks supporting enterprise data governance.
- Define strategies for metadata extraction, transformation analysis, and automated data lineage generation.
- Serve as the Design Authority for architecture reviews, technical decisions, and solution standards.
- Define integration patterns across source systems, metadata repositories, APIs, data platforms, and governance solutions.
- Establish technical standards, architecture principles, coding practices, and development guidelines.
- Lead technical design reviews, code-quality initiatives, and architectural governance processes.
- Ensure solutions meet requirements for scalability, security, performance, reliability, maintainability, and extensibility.
- Collaborate closely with business stakeholders, product managers, data architects, engineering leads, and governance teams.
- Evaluate and introduce Generative AI/LLM capabilities for metadata discovery, lineage generation, semantic mapping, data documentation, and related use cases.
- Define appropriate approaches for combining deterministic lineage techniques with AI/LLM-based capabilities.
- Provide technical leadership and mentorship to engineers and development teams.
- Identify technical risks, dependencies, and architectural gaps and drive them toward resolution.
- Contribute to technical strategy, proof-of-concepts, technology evaluations, and implementation planning.
Required Skills & Experience
- 15+ years of experience in software engineering, data architecture, solution architecture, or technical leadership.
- Strong experience in Data Lineage, Data Transformation, and Metadata Management.
- Strong understanding of ETL/ELT architecture and data integration patterns.
- Experience designing enterprise data models and canonical data models.
- Strong understanding of metadata frameworks, data governance, and data catalog concepts.
- Experience with data lineage extraction and generation, including source-to-target and column-level lineage.
- Strong experience with API and integration architecture, including REST APIs and enterprise integration patterns.
- Hands-on or architectural experience with Generative AI and LLM-based solutions.
- Experience designing scalable, secure, and maintainable enterprise platforms.
- Strong experience working across multiple engineering and architecture teams.
- Excellent technical leadership, communication, and stakeholder-management skills.
Cloud Experience
- Strong cloud architecture experience is required.
- Google Cloud Platform (GCP) experience is preferred.
- Experience with services such as BigQuery, Dataplex/Knowledge Catalog, Dataflow, Pub/Sub, Cloud Storage, Cloud Run/GKE, and Vertex AI is highly desirable.
Preferred Qualifications
- Experience with enterprise data lineage, metadata, data catalog, and governance platforms.
- Knowledge of enterprise data governance frameworks and practices.
- Experience with automated metadata discovery and lineage extraction.
- Experience applying LLMs/GenAI to enterprise data and metadata use cases.
- Experience with graph-based data models or technologies for representing lineage relationships.
- Experience working in large-scale enterprise environments.
- Strong ability to communicate architecture and technical concepts to both technical and non-technical stakeholders.
- Proven experience leading architecture reviews and serving as a technical/design authority.
Key Competencies
- Solution Architecture
- Enterprise Data Architecture
- Data Lineage & Metadata Management
- Data Governance
- Canonical Data Modeling
- ETL/ELT Architecture
- API & Integration Architecture
- Generative AI / LLM
- Cloud Architecture – GCP
- Technical Leadership
- Architecture Governance
- Stakeholder Management
- Team Mentoring
Role Expectations
The ideal candidate will combine deep data architecture expertise with strong technical leadership and modern AI capabilities. The candidate should be capable of translating enterprise business and governance requirements into a scalable technical architecture and leading engineering teams through successful implementation.
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Amarthya Sripada
(Amarthya)
Technical Recruiter
 
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