Senior Data Engineer

What you'll do

• Design and maintain scalable data pipelines supporting customer journey analytics
• Integrate Adobe Analytics clickstream data with Salesforce CRM, POS and transaction systems, and marketing platforms
• Build reliable ingestion, transformation, and serving layers for analytics and AI use cases
• Ensure high-quality, governed, and trusted customer analytics datasets
• Develop and maintain enterprise-grade ELT pipelines using Dataform and BigQuery
• Support migration and modernization of existing workflows into Dataform-based architectures
• Implement reusable transformation logic and standardized data engineering patterns
• Optimize data processing performance, maintainability, and scalability
• Establish best practices around testing, deployment, monitoring, and documentation
• Build data models supporting customer journey analysis and behavioral insights
• Enable tracking and reporting across customer touchpoints and digital experiences
• Support creation of unified customer views by integrating digital, CRM, and transaction data
• Collaborate with analytics teams to improve data accessibility and business usability
• Design and implement semantic data models that simplify enterprise data consumption
• Define business-friendly metrics, dimensions, and reusable analytical entities
• Support creation of governed semantic layers for reporting, analytics, and AI applications
• Collaborate with business and analytics stakeholders to standardize KPIs and data definitions
• Contribute to metadata management and enterprise data catalog initiatives
• Build AI-ready datasets and data structures supporting enterprise GenAI initiatives
• Support implementation of semantic data foundations for Gemini-powered analytics experiences
• Enable integration with Gemini Enterprise and BigQuery connectors
• Prepare and optimize datasets for conversational analytics and AI-assisted data interaction
• Contribute to future-state AI and knowledge-driven data architectures
• Support stakeholder discussions around customer analytics, semantic modeling, and AI readiness

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
• 4 - 6 years of experience in cloud data engineering and analytics platform development
• Strong hands-on experience with BigQuery, SQL, and Dataform
• Experience working with clickstream and customer behavioral datasets
• Exposure to Adobe Analytics or similar digital analytics platforms
• Experience integrating enterprise systems such as Salesforce, CRM platforms, POS systems, or customer data platforms
• Strong understanding of semantic modeling and analytical data structures
• Familiarity with AI-enabled analytics ecosystems and modern data platforms
• Strong stakeholder communication and problem-solving skills
• Preferred: Retail, eCommerce, Digital Commerce, or Customer Experience Analytics domain experience
• Preferred: Adobe Analytics implementation or support experience
• Preferred: Experience building customer 360 or customer journey analytics platforms
• Preferred: Experience developing semantic layers for self-service analytics
• Preferred: Exposure to Gemini Enterprise, GenAI, or conversational analytics initiatives
• Preferred: GCP Professional Data Engineer certification

Tech stack