We are seeking a talented Data Engineer / Metadata Engineer to design, develop, and optimize data pipelines, metadata repositories, and data governance solutions that support enterprise analytics, reporting, and data management initiatives. This role will be responsible for ensuring data quality, discoverability, lineage, cataloging, and integration across a complex data ecosystem.
The ideal candidate combines strong technical data engineering skills with expertise in metadata management, data governance frameworks, and modern cloud data platforms.
Design, build, and maintain scalable data pipelines and ETL/ELT processes.
Integrate data from multiple structured and unstructured sources into enterprise data platforms.
Integrate and correlate data sets both internal and external to customer organization.
Develop and optimize data models, data warehouses, data lakes, and lakehouse architectures.
Ensure data pipelines meet performance, reliability, and scalability requirements.
Implement automation and monitoring for data ingestion and processing workflows.
Design and maintain enterprise metadata repositories and data catalogs.
Define and manage business, technical, and operational metadata standards.
Develop processes for automated metadata collection, classification, and enrichment.
Maintain metadata lineage and impact analysis capabilities across data assets.
Ensure metadata consistency and accuracy across enterprise systems.
Support enterprise data governance initiatives and best practices.
Partner with business and technical stakeholders to define data ownership and stewardship models.
Implement data quality monitoring and validation controls.
Ensure compliance with organizational data policies and regulatory requirements.
Support master data management (MDM) and reference data initiatives.
Develop and support cloud-native data solutions within Azure, AWS, or Google Cloud environments.
Build and optimize data integration solutions using cloud services and modern data tools.
Support enterprise analytics, AI/ML, business intelligence workloads, and assist with build of automation-first pipelines.
Contribute to infrastructure-as-code and data platform automation efforts.
Work closely with data architects, analysts, data scientists, governance teams, and business stakeholders.
Translate business requirements into data engineering and metadata management solutions.
Support data discovery, self-service analytics, and data literacy initiatives.
Document system designs, data flows, metadata models, and operational procedures.
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field, or equivalent experience.
3-7 years of experience in data engineering, metadata management, or related data platform roles.
Experience building and maintaining ETL/ELT pipelines.
Strong SQL development and database management skills.
Experience with data warehousing and large-scale data processing.
Understanding of metadata management, data lineage, and data catalog concepts.
Strong problem-solving, analytical, and communication skills.
Active Top Secret (TS) clearance
Experience with enterprise data catalog platforms such as:
Microsoft Purview
Collibra
Alation
Informatica EDC
Apache Atlas
Experience with cloud platforms:
Microsoft Azure
AWS
Google Cloud Platform
Familiarity with:
Data Governance Frameworks
Data Quality Management
Master Data Management (MDM)
Data Modeling
Data Mesh and Data Fabric architectures
Additional Experience:
Experience supporting AI, Machine Learning, and advanced analytics initiatives.
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