Senior Data Solutions Engineer - AI-Driven

Adobe Inc.; Lehi (UT); On-site; USD 105,700 - 211,850; Full time

Job summary

Adobe is seeking a Senior Data Solutions Engineer in Utah to build scalable data products, automation, and AI-enabled solutions that empower CAO teams to operate more efficiently. You will transform ambiguous business problems into production-ready data architectures, APIs, and automation workflows, collaborating with analysts, engineers, and leaders to deliver impactful data-driven outcomes.

The role emphasizes modern development practices, production reliability, and mentoring peers in

Qualifications

• 7+ years of experience in data engineering or related fields.
• Strong SQL and Python proficiency with reliable data pipelines.
• Experience with cloud data platforms and data warehouses.
• Familiarity with CI/CD and Git-based development.
• Experience using AI/LLMs to accelerate engineering tasks.

Responsibilities

• Build scalable data products, automation, and AI-enabled solutions.
• Translate business needs into scalable data solutions and delivery plans.
• Lead complex technical initiatives across multiple systems, partners, and business domains.
• Mentor engineers and promote modern development practices.
• Ensure data quality, governance, security, and production reliability.

Skills

SQL

Python

Data pipelines

APIs

Cloud data platforms

Data warehouses

Orchestration tools

Git-based development

CI/CD practices

Data quality & governance

LLMs / AI-assisted development

Communication skills

Education

Bachelor's degree

Tools

Git

Airflow

Job description

Adobe is seeking a Senior Data Solutions Engineer in Utah to build scalable data products, automation, and AI-enabled solutions that empower CAO teams to operate more efficiently. You will transform ambiguous business problems into production-ready data architectures, APIs, and automation workflows, collaborating with analysts, engineers, and leaders to deliver impactful data-driven outcomes.

The role emphasizes modern development practices, production reliability, and mentoring peers in