HCLTech
Senior Analyst - Data Integration & Metadata Engineering
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Senior Analyst - Data Integration & Metadata Engineering
Job Summary
We are looking for a Senior Analyst - Data Integration & Metadata Engineering to support enterprise-scale data integration initiatives across governance, analytics, and operational platforms. This role is ideal for a technically strong professional who excels at extracting metadata from diverse source systems, transforming it into target-system formats, and enabling reliable, scalable data movement across the organization's technology landscape. The successful candidate will play a key role in designing and supporting API-driven integrations, metadata mappings, and data quality processes while collaborating closely with business and technology stakeholders.
Key Responsibilities
- Design, develop, and support metadata extraction, transformation, and loading processes across multiple source and target systems.
- Analyze source-system structures and map metadata to target platform requirements and governance standards.
- Develop and maintain scalable API-based integrations and data transformation workflows.
- Work with large-scale datasets and integration pipelines to ensure accuracy, consistency, and reliability.
- Collaborate with business and technical teams to define metadata requirements, mappings, and validation rules.
- Monitor integration processes and troubleshoot data quality, reconciliation, and data flow issues.
- Implement robust error-handling and exception-management processes across integration solutions.
- Contribute to data governance, metadata management, and operational excellence initiatives.
- Identify opportunities to improve efficiency through automation and reusable integration patterns.
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Required Qualifications (Must Have)
- Proven experience extracting metadata from source systems and transforming it to meet target-system requirements.
- Strong hands-on experience with:
- Cosmos DB
- Snowflake
- MuleSoft
- Experience designing and supporting API-based integrations at enterprise scale.
- Strong expertise in data mapping, transformation, and integration architecture.
- Excellent analytical, troubleshooting, and problem-solving skills.
- Ability to work independently and communicate effectively with technical and business stakeholders.
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Preferred Qualifications (Good to Have)
- Experience with Azure Data Factory (ADF).
- Knowledge of event-driven architectures and event streaming technologies.
- Experience implementing data quality controls, reconciliation processes, and error-handling frameworks.
- Familiarity with enterprise data governance and metadata management practices.
Additional Desired Skills (Nice to Have)
- Exposure to AI FinOps concepts and frameworks.
- Understanding of governance-focused metadata models and data cataloging approaches.
- Experience supporting cloud-based data platforms and modern data ecosystems.
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