AI Data Solutions Engineer

Join Crowe's AI Transformation team, where we focus on making the future of human work more purposeful. We leverage cutting-edge technologies, modern architectures, and industry experts to create AI-powered solutions that revolutionize our clients' businesses.

As a key member of our AI Transformation team, you will build on Crowe's strong AI foundation, enhancing the capabilities of our Applied AI / Machine Learning team. By blending Generative AI, Machine Learning, and Software Engineering, this team empowers Crowe clients to innovate their business models with AI, regardless of their current AI adoption stage.

Your role in AI Transformation will help Crowe stand out in the market and drive the firm's technology and innovation strategy. The future is powered by AI—come help us build it.

About the Team

• Expertise Investment: We provide the time, space, and support for you to dive deep into your projects and develop lasting technical and strategic skills. Collaborate with developers, product stakeholders, and project managers as a trusted leader and domain expert.
• Continuous Growth: Our team is dedicated to professional development and knowledge-sharing.
• Work-life Balance: We prioritize a distributed team culture grounded in trust and flexibility, offering unlimited PTO, a flexible remote work policy, and a supportive environment that encourages sustainable, long-term performance.

About the Role

• Design, develop, and maintain robust data pipelines and ETL processes for seamless data integration, cleansing, harmonization, and transformation.
• Collaborate closely with data scientists, analysts, and software engineers to implement data-driven AI solutions aligned with strategic business goals.
• Utilize advanced tools and platforms, including Azure Data Factory, Power BI, and SQL databases, to create scalable data solutions.
• Implement and maintain data fabric architectures that streamline data access, management, and enhance performance.
• Identify opportunities for data optimization, quality enhancement, and automation throughout the data lifecycle.
• Support the deployment and integration of AI models, ensuring data quality and compatibility with existing analytics frameworks.
• Regularly engage with cross-functional stakeholders to understand data needs and deliver timely analytics and reports.

Required Skills and Experience

• At least 7 years of experience in data engineering, ETL development, and data pipeline creation.
• Strong proficiency in SQL, Azure Data Factory, and Power BI.
• Expertise in data cleaning, harmonization techniques, and complex data integration management.
• Solid understanding of data fabric concepts and practical experience with related implementations.
• Hands-on experience with large-scale data pipelines for AI and analytics projects.
• Excellent communication skills to explain complex data concepts to non-technical stakeholders.
• A strong track record of effective collaboration in agile, cross-functional team environments.
• Willingness to travel domestically approximately 80% of the time to meet client needs.
• Demonstrated experience in team leadership, mentorship, or people management.
• Experience leading projects or initiatives that require senior-level judgment and accountability.

Preferred Skills

• Experience deploying and managing data solutions within Azure AI, Azure ML, or related AI/ML environments.
• Familiarity with DevOps practices, particularly CI/CD for data solutions.
• Certifications in Azure Data Engineering or other relevant Microsoft certifications (e.g., Azure Data Engineer Associate).
• A strong background in business analytics, enhancing the alignment of technical solutions with strategic goals.
• Active participation or interest in data engineering and AI communities to stay ahead of emerging trends and technologies.
• Previous experience in professional services or consultancy settings.

The application deadline for this role is 12/31/2025.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time.

The wage range for this role is $104,500.00 - $208,300.00 per year, based on various factors including skill sets, experience, and organizational needs.

Crowe LLP does not accept unsolicited candidates, referrals, or resumes from staffing agencies or third-party services. Any unsolicited submissions will be considered the property of Crowe, free of charge.

Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable laws.