Note: The job is a remote job and is open to candidates in USA. ConsultNet Technology Services and Solutions is a national provider of technology talent and solutions. The Senior Data Engineer will serve as the hands-on technical leader for a Microsoft Azure and Fabric-based enterprise data platform, designing scalable pipelines, integrations, data layers, quality controls, and analytics assets. The role also supports governance, automation, AI initiatives, technical standards, and the development of internal data engineering capabilities.
Responsibilities
- Design, build, and maintain scalable data pipelines and data integration patterns using Microsoft Azure and Microsoft Fabric
- Develop ingestion, transformation, orchestration, monitoring, and deployment standards for enterprise data workloads
- Build and mature the Bronze, Silver, and Gold data layers with reusable, well-documented engineering practices
- Drive platform reliability, observability, performance optimization, and operational support practices
- Integrate data from ERP, HRIS, CAD/PLM, CRM, collaboration platforms, manufacturing systems, and future enterprise platforms
- Develop API-based and connector-based integrations where appropriate
- Partner with application owners and business stakeholders to understand source system logic, data definitions, and integration requirements
- Monitor pipeline health and proactively resolve data integration issues
- Design curated datasets and analytical models for Power BI and enterprise reporting
- Support dimensional modeling and business logic for certified data assets
- Partner with Finance, Operations, Quality, Engineering, Sales, and leadership teams to translate business needs into reliable data products
- Enable governed self-service analytics by delivering trusted, consistent, and reusable data assets
- Implement data quality checks, reconciliation controls, lineage, metadata, documentation, and issue resolution practices
- Support master data and data governance initiatives in partnership with business data owners and stewards
- Design data solutions that support a regulated environment, including quality, privacy, security, and compliance considerations
- Promote DataOps practices including source control, testing, CI/CD, and release discipline
- Create reliable data foundations for AI, Copilot, automation, and advanced analytics initiatives
- Identify opportunities to automate manual reporting and operational data processes
- Support future predictive analytics and machine learning use cases through well-structured, governed data assets
- Serve as a senior hands-on technical leader for the enterprise data platform
- Partner with external consulting partners while building long-term internal capability
- Mentor future data engineering team members and help establish standards for the data engineering discipline
- Influence architecture, tooling, and roadmap decisions with a practical business-outcome mindset
Skills
- 7+ years of data engineering experience, including experience building or significantly maturing enterprise data platforms
- Strong hands-on experience with SQL, Python, ETL/ELT design, data modeling, and enterprise integration patterns
- Experience with Microsoft Azure data services, including Azure Data Factory, Azure Data Lake, Synapse Analytics and/or Microsoft Fabric
- Experience supporting global, multi-site organizations and working directly with business stakeholders
- Strong communication skills with the ability to explain technical concepts clearly to both technical and non-technical audiences
- Demonstrated ability to operate independently, make sound technical decisions, and connect platform work to business outcomes
- Required: data pipeline development, orchestration, monitoring, performance tuning, and data quality implementation
- Required: Git-based source control and CI/CD or DataOps practices using Azure DevOps or similar tooling
- Equivalent practical experience will be considered in lieu of a degree
- Preferred: ERP integration experience (e.g., Infor CSI/Syteline or similar)
- Preferred: manufacturing, medical device, life sciences, or regulated industry experience
- Preferred: Power BI semantic models, dimensional modeling, Kimball methodology, Microsoft Purview, MDM, or data cataloging experience
- Preferred: experience enabling AI, machine learning, or Copilot use cases through trusted enterprise data
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field preferred
- Microsoft Certified: Azure Data Engineer Associate preferred
- Microsoft Fabric Analytics Engineer Associate preferred
- Relevant Azure, Power BI, data governance, or cloud architecture certifications are a plus
Benefits
- 100% Remote
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