Omniscius Consulting is hiring a Data Engineer / Metadata Engineer to help build enterprise-ready data pipelines, metadata repositories, and data governance solutions. This onsite role in Arlington, VA focuses on improving data quality, discoverability, lineage, and cataloging while supporting cloud-native data platforms for analytics, AI/ML, and business intelligence workloads.
What you will do
- Design, build, and maintain scalable data pipelines and ETL/ELT processes.
- Integrate data from multiple structured and unstructured sources into enterprise data platforms.
- Develop and optimize data models, data warehouses, data lakes, and lakehouse architectures.
- Ensure pipelines meet performance, reliability, and scalability requirements.
- Implement automation and monitoring for ingestion and processing workflows.
- Design and maintain metadata repositories and data catalogs, including business, technical, and operational metadata standards.
- Build automated metadata collection, classification, and enrichment processes.
- Maintain metadata lineage and provide impact analysis across data assets.
- Support enterprise data governance initiatives and best practices, including compliance with organizational data policies and regulatory requirements.
- Partner with business and technical stakeholders to define data ownership and stewardship models.
- Implement data quality monitoring and validation controls.
- Support master data management (MDM) and reference data initiatives.
- Develop and support cloud-native data solutions within Azure, AWS, or Google Cloud.
- Contribute to infrastructure-as-code and data platform automation efforts.
- Document system designs, data flows, metadata models, and operational procedures.
What you bring
- 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.
Tools and platforms you may work with
SQL, ETL/ELT, Azure, AWS, Google Cloud, Microsoft Purview, Collibra, Alation, Informatica EDC, Apache Atlas, data governance frameworks, data quality management, Master Data Management (MDM), data modeling, Data Mesh and Data Fabric.
Preferred experience
- Experience with enterprise data catalog platforms including Microsoft Purview, Collibra, Alation, Informatica EDC, or Apache Atlas.
- Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
- Familiarity with data governance frameworks, data quality management, MDM, data modeling, and Data Mesh/Data Fabric architectures.
- Experience supporting AI, Machine Learning, and advanced analytics initiatives.
Location: Arlington, VA (onsite)
Minimum experience: 3 years
