Senior Data Engineer

TechRuiter; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

TechRuiter is seeking a hands-on Technical Lead to guide the development and operation of its Microsoft Fabric-based Platform. The role blends data platform architecture, hands-on engineering, technical leadership, and business partnership.

You will lead the architecture and engineering of the data lake-house, providing mentorship, reviews, and architectural guidance to data/analytics engineers while collaborating with R&D, Commercial, Manufacturing, Supply Chain, and Corporate functions.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
• 7–10 years of experience in data engineering, data platforms, or analytics infrastructure.
• 2+ years of technical leadership experience with data/analytics engineers.
• Hands-on experience with Microsoft Fabric; Databricks or Azure Synapse preferred/considered.

Responsibilities

• Lead architecture and engineering of the Microsoft Fabric data lake-house, including OneLake and CI/CD.
• Provide hands-on technical leadership, code reviews, and architectural guidance.
• Design scalable data pipelines integrating 50+ enterprise source systems.
• Partner with stakeholders to translate business needs into data solutions.
• Manage external implementation partners and ensure engineering quality.
• Establish platform support models, SLAs, monitoring, and data quality processes.
• Define KPIs: pipeline reliability, data freshness, query performance, onboarding velocity, incident resolution.
• Develop semantic layer, including Power BI datasets and gold-layer views.
• Implement data governance, security, classification, and audit requirements.
• Establish engineering standards for development, testing, branching, and deployment.

Skills

Leadership

PySpark

Python

T-SQL

ETL/ELT

Medallion architecture

DevOps/CI-CD

Microsoft Fabric

Data governance

External vendor management

Education

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field

Tools

Microsoft Fabric

Power BI

Databricks

Azure Synapse

GitHub

Azure DevOps

Job description

Job Description

We are seeking a hands-on Technical Lead to lead the development and operation of its Microsoft Fabric-based Platform. This role combines data platform architecture, hands-on engineering, technical leadership, and business partnership.

Key Responsibilities

• Lead the architecture and engineering of the Microsoft Fabric data lake-house, including OneLake, medallion architecture, Spark/SQL, and CI/CD.
• Provide hands-on technical leadership, mentoring, code reviews, and architectural guidance to data and analytics engineers.
• Design and build scalable data pipelines integrating 50+ enterprise source systems.
• Partner with business stakeholders across R&D, Commercial, Manufacturing, Supply Chain, and Corporate functions to translate business needs into data solutions.
• Manage and technically oversee external implementation partners, ensuring engineering quality and adherence to standards.
• Establish platform support models, SLAs, monitoring, data quality, incident management, and operational processes.
• Define and track platform KPIs such as pipeline reliability, data freshness, query performance, onboarding velocity, and incident resolution.
• Develop the semantic layer, including Power BI datasets, gold-layer views, and self-service analytics.
• Implement data governance, security, classification, RBAC, sensitivity labeling, and audit requirements.
• Establish engineering standards for development, testing, branching, documentation, and deployment.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field.
• 7–10 years of experience in data engineering, data platforms, or analytics infrastructure.
• 2+ years of technical leadership experience with data/analytics engineers.
• Strong hands-on experience with Microsoft Fabric; Databricks or Azure Synapse experience may be considered.
• Strong proficiency in PySpark, Python, T-SQL, ETL/ELT, and modern data engineering practices.
• Experience with medallion/layered data architecture at enterprise scale.
• Experience with DevOps, CI/CD, Azure DevOps/GitHub, and infrastructure-as-code.
• Knowledge of data governance and quality frameworks such as Microsoft Purview.
• Experience managing technical delivery from external vendors.

Preferred

• Biopharma, life sciences, or other regulated-industry experience, including GxP and validation requirements.
• Experience with Veeva, LIMS, ELN/Benchling, CTMS, EDC, MasterControl, or HRIS integrations.
• Experience with AI/ML workloads on a lake-house.
• Microsoft Fabric Data Engineering certification.