Senior AI & Data Engineer

SUMMARY

As a Senior AI and Data Engineer, you will lead the design, development, and delivery of scalable data platforms and AI-enabled data solutions to solve complex business problems for our clients. You will play a critical role in bridging business needs with modern data and AI architectures, guiding stakeholders across the end-to-end data lifecycle—from data strategy, data management and architecture through implementation, optimization, and scale.

• Lead data and AI engineering engagements across industries, delivering reliable, scalable, and business-aligned data solutions.
• Design and implement modern data architectures, including data lakes, data warehouses, and lakehouse solutions.
• Build and optimize data pipelines, integrations, and transformation frameworks to support analytics, AI, and operational use cases.
• Design and implement data management technical solutions (i.e. design, build and conduct data profiling scans, develop and/or automate data quality checks, design cleansing procedures and processes, develop data quality dashboards/reports).
• Partner closely with data science, product, and business teams to enable AI/ML use cases through well-designed data platforms.
• Translate complex business requirements into data strategies, architectures, and technical roadmaps.
• Communicate data insights, architectural decisions, and trade-offs clearly to both technical and non-technical stakeholders.
• Guide and mentor junior engineers, analysts, and consultants; provide technical leadership and best‑practice guidance.
• Contribute to business development through proposals, client presentations, and thought leadership in Data, AI, and Analytics.
• Stay current with emerging trends in data engineering, cloud platforms, analytics tooling, and AI enablement, and bring innovative ideas into client engagements.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field.
• 6+ years of experience in data engineering, analytics engineering, or data architecture roles, with at least 2 years in a consulting or client-facing environment.
• Strong experience designing and implementing data architectures and platforms for analytics and AI use cases.
• Proficiency in SQL and Python, with experience in data processing frameworks and analytics tooling.

Applicants must be authorized to work in the United States, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position.

North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.