Senior Data Engineer

ATL Technology LLC; Utah; On-site; USD 140,000 - 190,000; Full time

Job summary

ATL Technology LLC is building a modern Microsoft Azure and Fabric-based enterprise data platform to become the digital backbone for operational, financial, quality, commercial, and executive decision-making. The Senior Data Engineer will be hands-on technical leader responsible for designing, building, and operating this foundation.

You will establish scalable data pipelines, mature Bronze/Silver/Gold data architecture, integrate critical business systems, implement data quality controls, and

Qualifications

• 7+ years of data engineering experience building or maturing enterprise data platforms.
• Strong SQL, Python, ETL/ELT design, data modeling, and enterprise integration patterns.
• Experience with Microsoft Azure data services (ADF, Data Lake, Synapse) and Fabric.
• Experience supporting global, multi-site organizations and collaborating with business stakeholders.
• Excellent communication to explain technical concepts to varied audiences.
• Proven ability to operate independently and tie platform work to business outcomes.

Responsibilities

• Design and maintain scalable data pipelines and data integration patterns on Azure and Fabric.
• Build and mature Bronze/Silver/Gold data layers with reusable engineering practices.
• Ensure platform reliability, observability, performance, and operational support.

Skills

SQL

Python

ETL/ELT design

Data Modeling

Azure Data Services

Data integration patterns

Git-based CI/CD

Power BI

Education

Bachelor’s degree in Computer Science / related field

Microsoft Certified: Azure Data Engineer Associate

Microsoft Fabric Analytics Engineer Associate

Tools

Azure Data Factory

Azure Data Lake

Synapse Analytics

Microsoft Fabric

Power BI

Microsoft Purview

Job description

Role Summary

ATL Technology is building a modern Microsoft Azure and Fabric-based enterprise data platform to become the digital backbone for operational, financial, quality, commercial, and executive decision-making. The Senior Data Engineer will be the hands‑on technical leader responsible for designing, building, and operating this foundation. This role is more than traditional ETL development. The successful candidate will establish scalable data pipelines, mature ATL’s Bronze/Silver/Gold data architecture, integrate critical business systems, implement data quality controls, and enable analytics, automation, and AI initiatives across ATL’s global operations. Why this role matters: You will help create ATL’s internal data engineering capability, reduce reliance on manually maintained Excel-based reporting, and provide trusted data foundations for executive reporting, operational KPIs, and future AI use cases.

Key Responsibilities

• Enterprise Data Platform Design
  • Enterprise Data Platform 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 ATL’s Bronze, Silver, and Gold data layers with reusable, well‑documented engineering practices.
  • Drive platform reliability, observability, performance optimization, and operational support practices.
• Business System Integration
  • Integrate data from Infor ERP, Workday, Autodesk Fusion, Dynamics CRM, SharePoint, 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.
• Data Modeling & Analytics Enablement
  • 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.
• Data Quality, Governance & Compliance
  • 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 ATL’s regulated environment, including quality, privacy, security, and compliance considerations.
  • Promote DataOps practices including source control, testing, CI/CD, and release discipline.
• AI & Automation Enablement
  • 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.
• Technical Leadership
  • Serve as a senior hands‑on technical leader for ATL’s enterprise data platform.
  • Partner with external consulting partners while building ATL’s 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.

Qualifications

• 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.
• Experience 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.
• Preferred: Infor CSI/Syteline or other ERP integration experience.
• 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.
• Education Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field preferred. Equivalent practical experience will be considered in lieu of a degree.
• Certifications (or demonstratable equivalent experience) 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.

Our Mission

Our Mission to is partner with the world's leading medical device companies to accelerate the development and manufacturing of innovative medical devices.

We look for employees who live our values; Honesty, Excellence, Accountability, Respect & Teamwork (HEART) as a part of their daily interactions with customers, peers and their communities.

Introduce Yourself!