Description

About the Company

Adobe is changing the world through digital experiences. With over 30,000 employees worldwide, Adobe empowers individuals and businesses—from emerging artists to global brands—to design and deliver powerful digital content. Adobe is committed to fostering an inclusive, innovative, and impactful workplace, where every employee is respected and has access to equal opportunity. The company believes the next big idea can come from anywhere.

The Opportunity

The Adobe DMe B2B Analytics Team is seeking a Senior Analytics Engineer to design and build foundational data assets and analytical reports that uncover insights across the B2B customer journey—including acquisition, engagement, and retention. The role supports business objectives across revenue generation, customer success, and operational performance by contributing to large-scale, cross-functional data projects.

What You’ll Do

• Analyze complex business requirements and profile diverse data sources.
• Develop scalable data products across platforms like Databricks, with a focus on performance, quality, and efficiency.
• Build and manage foundational datasets and reporting solutions that support dashboards, self-service tools, and on-demand analytics.
• Collaborate closely with Business Intelligence, Product Management, and Business Stakeholders to translate business needs into data solutions.
• Lead and mentor junior analytics engineers and analysts through code reviews and by promoting best practices in code clarity, maintainability, and technical excellence.

Key Skills:

SQL, Python, Data Warehousing, Data Modeling, Analytics Engineering, Databricks, Data Pipeline Development, Business Intelligence, AI Tools (GitHub Copilot, Claude), Code Review, Mentorship

Requirements:

• Bachelor’s or Master’s degree in Data Analytics, Computer Science, Engineering, or related field
• Minimum 8 years of experience in analytics or data engineering
• Proven expertise in data modeling, scalable data architecture, and cloud-based data platforms
• Experience with modern data stack tools and AI-enhanced coding workflows
• Strong communication and stakeholder collaboration skills
• Ability to mentor junior team members and lead by example in code quality and technical design

What You Need to Succeed

• Strong analytical thinking, critical reasoning, and problem-solving capabilities.
• Ability to quickly grasp Adobe’s product ecosystem, internal processes, and legacy data structures.
• At least 8 years of experience in data analytics, data engineering, or a related discipline.
• Expertise in data warehousing, data modeling, and building scalable data systems.
• Proficient in SQL and/or Python for developing and optimizing data pipelines.
• Familiarity with AI-based development tools such as GitHub Copilot or Claude to enhance productivity.
• Excellent communication skills for effective collaboration with technical and business teams.

Why Adobe

Adobe is known for its industry-leading workplace culture and benefits. Employees enjoy:

• A global reputation as a Best Company to Work For
• A growth-focused environment driven by continuous feedback through Adobe’s Check-In framework
• A collaborative, inclusive, and innovative work culture
• A range of benefits tailored to support personal and professional development