Engineer III, Global Technology - Data Solutions

Job Description

Why This Role Matters

As an Engineer III (Data Engineer) within the Data Solutions team, you will help design, build, and support enterprise-scale data and analytics solutions that enable business teams to make trusted, data-driven decisions. You will play a key role in delivering modern analytics capabilities, driving engineering excellence, and ensuring data products are scalable, reliable, and aligned with business objectives.

Team and Technology

You will work closely with engineers, product managers, architects, platform teams, and business stakeholders to develop enterprise data platforms, analytical applications, semantic models, and reporting solutions. This role leverages technologies including Microsoft Fabric, Databricks, Power BI, SQL, Spark, PySpark, Git-integrated CI/CD pipelines, and modern data engineering practices.

What Success Looks Like

• Deliver high-quality, scalable data and analytics solutions that provide trusted business insights and measurable value.
• Contribute to technical design, architecture, and engineering best practices that improve reliability, maintainability, and operational excellence.
• Partner effectively across engineering and business teams to translate complex requirements into production-ready analytical solutions.
• Advance analytics engineering capabilities through automation, governance, observability, and continuous improvement practices.

Key Areas of Impact

Technical Depth and Delivery

• Design, develop, and support enterprise data models, semantic layers, reporting datasets, and analytical applications.
• Establish engineering best practices for data quality, testing, automation, observability, CI/CD, and release governance.

Architectural Scale

• Design scalable analytics architectures that support current business needs and future growth.
• Participate in solution design and architecture discussions to improve reliability, scalability, and maintainability.

Team Collaboration Scale

• Partner with product managers, architects, platform engineers, and business stakeholders to deliver analytical solutions.
• Support team success through code reviews, technical collaboration, mentoring, and knowledge sharing.

Influence and Advocacy

• Define and standardize KPIs, business metrics, and semantic models that enable trusted enterprise reporting.
• Promote engineering best practices and advocate for solutions that improve delivery quality and customer outcomes.

Scope of Vision

• Translate complex business requirements into scalable analytical solutions with a focus on long-term supportability.
• Identify opportunities to modernize analytics capabilities and evolve enterprise reporting platforms.

Scale of Business Understanding and Impact

• Deliver reporting, dashboards, and visualizations that improve operational visibility and decision-making.
• Ensure analytics solutions align with enterprise data governance, privacy, security, and compliance requirements.

This position is on-site and will reside in one of the areas listed below, depending on availability. Candidates must be local or willing to relocate. Relocation assistance is not offered for this position.

• Atlanta, GA
• Dallas, TX
• Detroit, MI
• Laredo, TX
• Newark, NJ

Qualifications

Qualifications for Success

Required

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field, or equivalent combination of education and experience.
• 5+ years of experience designing and implementing end-to-end enterprise data and analytics solutions.
• Advanced experience with Microsoft Fabric and Databricks, including data engineering, data modeling, semantic-layer development, analytics architecture, and performance optimization.
• Advanced proficiency with Power BI, including DAX, Power Query, semantic models, dashboards, and visualization best practices.
• Experience building and supporting scalable data pipelines, Lakehouse solutions, data warehouses, and transformation processes using SQL, Spark, or PySpark.
• Experience implementing Git-integrated CI/CD practices, automated testing, deployment pipelines, and release governance.
• Experience supporting production analytics solutions, including monitoring, troubleshooting, and performance optimization.
• Strong communication, collaboration, problem-solving, and technical leadership skills.

Preferred

• Experience with Agentic AI development processes and practices.
• Experience defining and governing enterprise KPIs, business metrics, semantic models, and reporting standards.
• Experience implementing data quality, observability, privacy, security, and governance practices across analytics platforms.
• Experience modernizing legacy reporting and analytics solutions.
• Experience with Tableau, Python visualization libraries, Azure Data Services, or similar analytics technologies.
• Experience measuring and improving engineering delivery through DORA metrics.
• Microsoft Fabric, Power BI, Databricks, Azure, or related data and analytics certifications.
• One or more of the following certifications: Microsoft Certified: Fabric Analytics Engineer Associate (DP-600), Microsoft Certified: Fabric Data Engineer Associate (DP-700), Microsoft Certified: Power BI Data Analyst Associate (PL-300), or Databricks Data Engineer Professional.

Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not transfer or sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity.