Sr Analytics Engineer - Customer Engineering

$246,600 - $246,600/Yr

Adobe - San Jose, CA

Full-time - Senior

San Jose, CA

Publishing Industries

About the position

Adobe is seeking a senior, experienced 'hands-on' analytics engineer to join our Customer Engineering team within the Adobe Digital Experience (DX) Cloud Engineering. This role is pivotal in focusing on various aspects of product experience for Adobe Experience Platform (AEP) and related applications. The Customer Engineering (CE) team is dedicated to diagnosing and preventing customer issues while providing technical enablement to assist customers in navigating the product adoption lifecycle effectively. As part of this mission, the CE team collaborates closely with Adobe Field teams, including Pre-Sales, Consulting, and Support, as well as third-party partners, to gather and synthesize real-world customer patterns. This collaboration is essential for aligning our product roadmap and developing technical frameworks and tools that empower these field teams to engage with customers at scale and with significant impact. As the AEP business continues to expand, our product and engineering teams face the challenge of scaling to meet the demands of customers and field teams. There is a pressing need for data-driven, actionable insights that can help identify, prioritize, and focus investments in people and technology to assist customers who are struggling to operate or grow their business impact from their AEP end-to-end systems. This role presents a unique opportunity to infuse customer self-service intelligence into our products through reporting, analytics, and AI assistance. The selected candidate will be among the founding members of a new Customer Data Science & Analytics team, tasked with modeling and delivering critical data sets that support cross-product and engineering critical metric reporting, predictive intelligence (such as identifying at-risk customers and assessing customer maturity), and frameworks for in-product usage and value. Collaboration with data science colleagues and other internal cross-team data engineers, ML ops, and decision science platform teams will be a key aspect of this role.

Responsibilities

• Create and maintain complex data models and queries to support cross-AEP analytics, dashboards, and self-serve tools
• Collaborate with partners to understand business requirements and translate them into data insights reporting & analytics solutions
• Establish data modeling standards and patterns; ensure these models accurately measure metrics and supporting details
• Build and maintain data pipelines and infrastructure for efficient data processing and analysis
• Collaborate with partners to understand business requirements and translate them into technical solutions; enable and support partners to access and analyze data effectively
• Optimize data processing and storage solutions for performance and cost efficiency
• Develop automated processes for data validation, cleaning, and transformation
• Implement data governance and quality standards; document for data models, code, and standards
• Serve as a domain expert on data models and address questions quickly and accurately
• Approve data model changes as a reviewer and code owner for specific database schemas
• Integrate AI/ML models into data warehousing and analytics workflows
• Advocate for data quality programs and trusted data initiatives
• Lead major strategic data projects spanning six (6) months or more
• Lead, guide, and mentor junior team members to grow their skills and impact

Requirements

• 5-7+ years' experience in analytics engineering or related data engineering roles
• Expert proficiency in SQL and data modeling
• Proficiency in statistical programming languages like Python or R
• Experience with data warehousing technologies and cloud platforms (e.g., AWS, Azure)
• Expertise in analytics and data engineering concepts, tools, and technologies
• Proficiency in data transformation tools like dbt (data build tool)
• Experience with data orchestration platforms (e.g., Airflow, Glue)
• Knowledge of dimensional modeling and star/snowflake schemas
• Understanding of business processes, preferably in healthcare or related industries
• Ability to collaborate with partners and translate business requirements into technical solutions
• Strong analytical and problem-solving skills
• Ability to tackle complex problems from both technical and business perspectives
• Experience managing or mentoring junior team members
• Planning, leading, and delivering data projects
• Good interpersonal skills for communicating data insights to partners
• Ability to document, memos, and presentations

Nice-to-haves

• Experience with data visualization tools like Tableau, Power BI
• Knowledge of data governance and quality standards
• Familiarity with AI/ML concepts and their application in analytics
• Familiarity with Adobe Experience Platform

Benefits

• Competitive salary range of $134,800 -- $246,600 annually based on location and experience
• Potential for long-term incentives in the form of a new hire equity award
• Annual Incentive Plan (AIP) for non-sales roles
• Equal Employment Opportunity and affirmative action employer
• Support for employees with disabilities or special needs during the application process