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About the Role

We are seeking a highly experienced Senior Engineer – CRM, Data & Cloud Platforms to help architect and build the next generation of enterprise CRM capabilities. This is a hands-on senior engineering role at the intersection of Salesforce, Google Cloud Platform (GCP), data engineering, APIs, distributed systems, and data security. The engineer will design and develop secure, scalable, resilient, and observable solutions that connect Salesforce with enterprise data platforms and enable trusted data to be accessed and consumed across CRM, analytics, ML, and AI use cases.

Responsibilities

Design and build end-to-end enterprise CRM capabilities spanning Salesforce, GCP, APIs, and enterprise data platforms, from customer-facing CRM experiences through the underlying data and integration layers.
Develop scalable solutions on Salesforce, applying strong knowledge of Salesforce data architecture, Apex, APIs, integration patterns, platform capabilities, and SaaS application development.
Engineer high-volume data pipelines and processing capabilities on GCP using BigQuery, Bigtable, Dataflow, Dataproc/Spark, Pub/Sub, Cloud Composer/Airflow, Cloud Storage, and related technologies.
Design the data connectivity between Salesforce and enterprise data ecosystems, using APIs, events, streaming, CDC, batch integration, federation, and virtualization based on the needs of the use case.
Own data modeling and management across Salesforce and GCP, including data quality, metadata, lineage, lifecycle management, reconciliation, and governance.
Design for data security and accessibility across both platforms, including Salesforce sharing and access models, GCP IAM, authentication/authorization, encryption, tokenization, masking, and least-privilege access.
Build data virtualization and federation patterns that make enterprise data available to CRM experiences without unnecessarily replicating or moving large volumes of data.
Design and build secure, reliable APIs and integration services, with well-defined contracts, documentation, versioning, lifecycle management, authentication/authorization, and governance.
Build event-driven architectures using Salesforce Platform Events/CDC, Pub/Sub, Kafka, or similar technologies to support real-time and asynchronous data flows.
Engineer for reliability and observability across Salesforce, APIs, events, and data pipelines through logging, metrics, tracing, alerting, SLIs/SLOs, retries, idempotency, and resilient failure handling.
Drive a Data as a Product mindset by creating trusted, reusable, discoverable data products and services with clear ownership, contracts, quality standards, security, and service expectations.
Optimize solutions for scale, performance, reliability, and cost, particularly for large-volume Salesforce and GCP data workloads.
Apply modern engineering practices including automated testing, CI/CD, DevSecOps, Infrastructure as Code, code reviews, and production readiness.
Provide hands-on technical leadership, partnering with product, architecture, data, and engineering teams to turn complex business needs into simple, secure, and scalable CRM and data solutions.
Coach and mentor others.

Requirements

8+ years of software engineering experience building enterprise-scale SaaS, CRM, cloud, data, and/or distributed systems, with demonstrated experience delivering production solutions across multiple technology layers.
Strong hands-on experience with Salesforce as an enterprise SaaS CRM platform, including Salesforce data architecture, Apex, APIs, integration patterns, security, sharing, permissions, and large-volume data considerations.
Strong hands-on experience with GCP data engineering, including BigQuery, Bigtable, Dataflow/Apache Beam, Dataproc/Spark, Pub/Sub, Cloud Composer/Airflow, Cloud Storage, or comparable cloud data technologies.
Strong software and data engineering skills, with proficiency in technologies such as Java, Python, SQL, and Apex, and experience building production-quality services, APIs, applications, and data pipelines.
Deep experience with data engineering and distributed processing, including ETL/ELT, batch and streaming pipelines, orchestration, high-volume computation, transformation, data quality, and analytics.
Strong understanding of data architecture and modeling across transactional CRM and analytical platforms, including relational, operational, and analytical data models.
Strong knowledge of Salesforce and cloud data security, including Salesforce access controls and sharing models, IAM, authentication/authorization, encryption, tokenization, masking, secrets management, and protection of sensitive data.
Experience designing data integration, federation, and virtualization architectures, with an understanding of when to move, replicate, stream, cache, federate, or access data in place.
Strong experience designing and developing REST APIs and enterprise integration services, including API contracts, OpenAPI/Swagger documentation, security, versioning, reliability, and lifecycle management.
Experience with event-driven architectures, including messaging, Pub/Sub, streaming, CDC, Salesforce Platform Events, Kafka, or comparable technologies.
Strong understanding of distributed-system reliability and observability, including SLIs/SLOs, logging, metrics, tracing, alerting, retries, idempotency, rate limiting, and failure recovery.
Experience with data governance and Data as a Product practices, including data contracts, ownership, metadata, lineage, quality, discoverability, and reusable data services.
Experience with modern engineering practices including Git, CI/CD, automated testing, DevSecOps, and Infrastructure as Code.
Strong problem-solving and communication skills, with the ability to work across CRM, application, data, cloud, security, and product teams and influence technical direction.
Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

Skills

Salesforce
Google Cloud Platform (GCP)
Data Engineering
APIs
Distributed Systems
Data Security
BigQuery
Bigtable
Dataflow
Dataproc/Spark
Pub/Sub
Cloud Composer/Airflow
Cloud Storage
Java
Python
SQL
Apex
REST APIs
Event-driven architectures
Messaging
Streaming
CDC
Salesforce Platform Events
Kafka
Git
CI/CD
Automated Testing
DevSecOps
Infrastructure as Code

Location

Work Type

Hybrid
Onsite
Virtual

Experience Level

Senior

Benefits

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

About the Company

At American Express, our culture is built on a 175-year history of innovation, shared values, and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues.
From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

Equal Opportunity

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.
For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
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