Note: The job is a remote job and is open to candidates in USA. The organization is building a modern Microsoft Azure and Fabric-based enterprise data platform to support operational, financial, quality, commercial, and executive decision-making. The Senior Data Engineer will design, build, and operate scalable data pipelines, mature Bronze/Silver/Gold data architecture, integrate business systems, implement data quality controls, and enable analytics, automation, and AI initiatives.
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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