Crowe
Overview
AI Data Engineering Manager at Crowe. Join to apply for the AI Data Engineering Manager role at Crowe. Job location: Atlanta, GA (remote options may be available per company policy). Get AI-powered insights and join a team building AI-enabled solutions across Crowe’s advisory, tax, audit, and consulting services. About Crowe AI Transformation
Everything we do is about making the future of human work more purposeful. We leverage state-of-the-art technologies, modern architectures, and industry experts to create AI-powered solutions that transform how our clients do business. The AI Transformation team will build on Crowe’s established AI foundation, combining Generative AI, Machine Learning, and Software Engineering to empower Crowe clients to transform their business models through AI, irrespective of their current AI adoption stage. As a member of AI Transformation, you will help distinguish Crowe in the market and drive the firm’s technology and innovation strategy. About The Team
We invest in expertise. You’ll have time, space, and support to go deep in your projects and build lasting technical and strategic mastery. You’ll work with developers, product stakeholders, and project managers as a trusted leader and domain expert. We believe in continuous growth. Our team is committed to professional development and knowledge-sharing. We protect balance. Our distributed team culture is grounded in trust and flexibility. We offer unlimited PTO, a flexible remote work policy, and a supportive environment that prioritizes sustainable, long-term performance. Role Responsibilities
Design, develop, and maintain robust data pipelines and ETL processes that enable data integration, cleansing, harmonization, and transformation. Collaborate with data scientists, analysts, and software engineers to implement data-driven AI solutions aligned with business objectives. Leverage tools and platforms including Azure Data Factory, Power BI, and SQL databases to build scalable data solutions. Implement and maintain data fabric architectures to ensure streamlined data access, efficient management, and enhanced performance. Identify opportunities for data optimization, quality improvement, and automation across the data lifecycle. Facilitate deployment and integration of AI models, ensuring data quality and compatibility with analytics infrastructure. Engage with cross-functional stakeholders to understand data needs and deliver timely, impactful analytics and reports. Required Skills And Experience
Minimum of 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 managing complex data integrations. Solid understanding of data fabric concepts with related implementations. Hands-on experience developing and maintaining large-scale data pipelines for AI and analytics projects. Excellent communication skills to translate complex data concepts to non-technical stakeholders. Proven ability to collaborate effectively in agile, cross-functional teams. Willingness to travel domestically approximately 80% of the time to meet client needs. Experience leading, mentoring, or people management; strong 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 (CI/CD) for data solutions. Azure Data Engineer certifications or related Microsoft certifications. Strong background in business analytics to align technical solutions with business goals. Active involvement in data engineering and AI communities; keeping current with trends. Experience in professional services or consultancy environments. Additional Information
We expect candidates to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. The application deadline for this role is 12/31/2025. Crowe is an equal opportunity employer and will verify identity and work authorization as required. Crowe does not sponsor for work authorization at this time. The wage range is employer-disclosed and based on factors including experience and location. A reasonable estimate for this role is $104,500.00 - $208,300.00 per year. For more about Crowe and our benefits, see our Careers page. Why Crowe: comprehensive total rewards, inclusive culture, and opportunities for growth with a dedicated Career Coach. Crowe is one of the largest public accounting, consulting, and technology firms, serving clients worldwide. Referrals increase your chances of interviewing at Crowe. Get notified about new Engineering Manager roles in Atlanta, GA.
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AI Data Engineering Manager at Crowe. Join to apply for the AI Data Engineering Manager role at Crowe. Job location: Atlanta, GA (remote options may be available per company policy). Get AI-powered insights and join a team building AI-enabled solutions across Crowe’s advisory, tax, audit, and consulting services. About Crowe AI Transformation
Everything we do is about making the future of human work more purposeful. We leverage state-of-the-art technologies, modern architectures, and industry experts to create AI-powered solutions that transform how our clients do business. The AI Transformation team will build on Crowe’s established AI foundation, combining Generative AI, Machine Learning, and Software Engineering to empower Crowe clients to transform their business models through AI, irrespective of their current AI adoption stage. As a member of AI Transformation, you will help distinguish Crowe in the market and drive the firm’s technology and innovation strategy. About The Team
We invest in expertise. You’ll have time, space, and support to go deep in your projects and build lasting technical and strategic mastery. You’ll work with developers, product stakeholders, and project managers as a trusted leader and domain expert. We believe in continuous growth. Our team is committed to professional development and knowledge-sharing. We protect balance. Our distributed team culture is grounded in trust and flexibility. We offer unlimited PTO, a flexible remote work policy, and a supportive environment that prioritizes sustainable, long-term performance. Role Responsibilities
Design, develop, and maintain robust data pipelines and ETL processes that enable data integration, cleansing, harmonization, and transformation. Collaborate with data scientists, analysts, and software engineers to implement data-driven AI solutions aligned with business objectives. Leverage tools and platforms including Azure Data Factory, Power BI, and SQL databases to build scalable data solutions. Implement and maintain data fabric architectures to ensure streamlined data access, efficient management, and enhanced performance. Identify opportunities for data optimization, quality improvement, and automation across the data lifecycle. Facilitate deployment and integration of AI models, ensuring data quality and compatibility with analytics infrastructure. Engage with cross-functional stakeholders to understand data needs and deliver timely, impactful analytics and reports. Required Skills And Experience
Minimum of 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 managing complex data integrations. Solid understanding of data fabric concepts with related implementations. Hands-on experience developing and maintaining large-scale data pipelines for AI and analytics projects. Excellent communication skills to translate complex data concepts to non-technical stakeholders. Proven ability to collaborate effectively in agile, cross-functional teams. Willingness to travel domestically approximately 80% of the time to meet client needs. Experience leading, mentoring, or people management; strong 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 (CI/CD) for data solutions. Azure Data Engineer certifications or related Microsoft certifications. Strong background in business analytics to align technical solutions with business goals. Active involvement in data engineering and AI communities; keeping current with trends. Experience in professional services or consultancy environments. Additional Information
We expect candidates to uphold Crowe’s values of Care, Trust, Courage, and Stewardship. The application deadline for this role is 12/31/2025. Crowe is an equal opportunity employer and will verify identity and work authorization as required. Crowe does not sponsor for work authorization at this time. The wage range is employer-disclosed and based on factors including experience and location. A reasonable estimate for this role is $104,500.00 - $208,300.00 per year. For more about Crowe and our benefits, see our Careers page. Why Crowe: comprehensive total rewards, inclusive culture, and opportunities for growth with a dedicated Career Coach. Crowe is one of the largest public accounting, consulting, and technology firms, serving clients worldwide. Referrals increase your chances of interviewing at Crowe. Get notified about new Engineering Manager roles in Atlanta, GA.
#J-18808-Ljbffr