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Senior Data Engineer II – Amex Ads, Offers, and Dining Technology
American Express. Lead the design, development, and implementation of scalable data pipelines and data architecture supporting dining analytics, reporting, and downstream business applications .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing scalable data pipelines and data architecture, with strong proficiency in Snowflake, SQL, and Python. Capable of leading cross-functional teams to deliver enterprise-scale data engineering solutions while ensuring data quality and governance.
Highest-signal resume keywords
Snowflake ExpertiseSQL Query OptimizationPython DevelopmentETL/ELT Pipeline DevelopmentData Warehousing Concepts
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DesignData Architecture ImplementationBatch and Incremental ETL/ELT WorkflowsData Quality ValidationDimensional ModelingCloud-Based Data IntegrationSchema Evolution HandlingProduction MonitoringData GovernanceAutomated Deployment Practices
Soft Skills
Problem-SolvingCommunicationStakeholder ManagementCross-Functional Collaboration
Tools & Technologies
AWS S3SnowflakeCI/CD PipelinesGitInfrastructure as Code
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Engineering
Industry Keywords
Data EngineeringEnterprise Data PlatformsData Quality FrameworksOperational ExcellenceAnalytics-Ready Datasets
Tech Stack
Tools & technologiesAWSCloudETLPythonSQL
About the role
Key responsibilities & impact- Lead the design, development, and implementation of scalable data pipelines and data architecture supporting dining analytics, reporting, and downstream business applications
- Build and maintain batch and incremental ETL/ELT workflows, including ingesting Rooam POS data from AWS S3 into Snowflake and transforming it into analytics-ready datasets
- Design and optimize Snowflake data models across staging, curated, and business-ready data layers
- Develop scalable data processing solutions using Python, SQL, and AWS cloud services
- Implement data quality validation, reconciliation, monitoring, and alerting for Rooam POS data
- Partner with Product, Business, Analytics, Architecture, and Engineering teams to define data requirements and deliver scalable solutions
- Optimize Snowflake performance through SQL tuning, storage optimization, and efficient compute-resource management
- Lead technical design discussions, mentor engineers, and promote engineering best practices
- Strengthen platform reliability through automation, CI/CD, observability, documentation, and operational excellence
- Support enterprise data governance through metadata, documentation, lineage, and secure access management
Requirements
What you’ll need- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field
- 8+ years of experience in Data Engineering, Software Engineering, or Enterprise Data Platforms
- Strong hands-on expertise in Snowflake
- Strong hands-on expertise in SQL and advanced query optimization
- Strong hands-on expertise in Python
- ETL/ELT pipeline development and orchestration
- Experience designing and implementing scalable data pipelines and cloud-based data integration solutions
- Strong understanding of data warehousing concepts, dimensional modeling, and modern data lake/lakehouse architectures
- Experience implementing data quality frameworks, reconciliation processes, schema evolution handling, and production monitoring
- Familiarity with CI/CD pipelines, Git, Infrastructure as Code, and automated deployment practices
- Excellent problem-solving, communication, stakeholder management, and cross-functional collaboration skills
- Proven ability to lead end-to-end delivery of enterprise-scale data engineering initiatives across multiple teams
- Visa sponsorship may be provided for certain positions depending on business requirements, position nature, cost, and applicable laws
Benefits
Comp & perks- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities