Staff Data Engineer

At American Express our culture is built on a 175-year history of innovation shared and Leadership Behaviors and an unwavering commitment to back our customers communities and colleagues As part of Team Amex you ll experience this 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 American Express is on an exciting Big Data Cloud transformation Next Gen Big Data focused on providing best in class Data Analytics and AI ML experience to Enterprise users and platforms This Engineering Director role will focus on delivering key platform capabilities around data observability developer and usecase enablement tooling working closely with Product teams Cloud Engineering Info Security and other Enterprise teams Key Responsibilities Architect and implement scalable distributed data frameworks and pipelines to process petabyte-scale datasets in both batch and streaming modes Design and deliver cloud-native data processing solutions using Spark Beam Flink Dataflow and BigQuery on Google Cloud Platform GCP Review platform migration use cases assess architecture and design patterns and provide strategic recommendations to ensure scalability security and enterprise alignment Architect and optimize single-tenant and multi-tenant solutions balancing cost performance and security across diverse workloads Build automation and accelerator frameworks to standardize data transformation migration and validation across Lumi workloads Engineer fault-tolerant self-healing and high-throughput systems optimized for concurrency latency and compute efficiency Define robust data modeling schema evolution and partitioning strategies for performance scalability and maintainability Develop developer-facing SDKs reusable libraries and APIs that simplify platform usage and promote consistency Integrate observability lineage and data quality enforcement mechanisms into Lumi s end-to-end data lifecycle Lead performance benchmarking capacity planning and technical reviews to ensure Lumi services meet stringent SLAs Collaborate with Cloud Security and Platform teams to align with enterprise standards for reliability resilience and compliance Mentor senior engineers fostering a culture of technical excellence innovation and continuous improvement Operate as a hands-on technical leader-balancing architecture direction with active code contribution Champion engineering best practices automation and reusability across distributed teams Communicate complex technical concepts effectively and influence senior stakeholders across teams Foster a culture of collaboration technical rigor and innovation across global engineering teams Qualifications- Education Experience Bachelor s or Master s degree in Computer Science Computer Engineering or a related field 10 years of experience in data engineering distributed systems or big data platform development Proven success in architecting and delivering large-scale high-performance cloud-native data systems on GCP or equivalent environments Demonstrated ability to drive architecture and design decisions in complex multi-stakeholder organizations Technical Expertise Strong expertise in cloud architecture fundamentals compute network storage and security ensuring high availability visibility and compliance Proven experience leading large-scale on-prem to cloud migrations defining strategies standards and best practices for secure seamless transformations Skilled in architecture reviews balancing innovation with long-term sustainability Deep hands-on experience with GCP and Big Data technologies - BigQuery Dataflow Pub Sub Cloud Storage Dataproc and IAM Strong understanding of VPC design interconnects firewalls and networking for secure high-performance data pipelines Proven ownership of Infrastructure-as-Code IaC frameworks using Terraform Enterprise and Cloud Deployment Manager skilled in Docker and Kubernetes GKE OpenShift Proficient with CI CD and automation tools such as GitHub Enterprise Jenkins ArgoCD or Cloud Build Expert in Python Scala and Java with deep experience in Spark Beam Flink and GCP Dataflow for scalable data processing Strong knowledge of cost-performance trade-offs and designing multi-tenant architectures optimized for efficiency and reliability Experienced in building APIs orchestrators and automated data migration frameworks with focus on performance and modularity Expert in Cloud IAM key management and platform security with deep understanding of PCI-DSS SOX and GDPR compliance Skilled in developing large-scale batch and streaming pipelines with strong grounding in data modeling schema evolution and metadata governance Dataplex Collibra Apache Atlas Informatica EDC Proficient in observability frameworks metrics logging tracing using Grafana Prometheus Splunk ELK Stackdriver and Cloud Trail Knowledgeable in ML modeling infrastructure - GPU TPU GKE and MLOps integration for scalable machine learning platforms Preferred Qualifications Experience in BFSI or FinTech domains managing sensitive high-volume data workloads Knowledge of real-time analytics event-driven systems or streaming architectures for fraud risk and payments Contributions to open-source projects technical papers or patents in data engineering or distributed computing Google Cloud Professional Data Engineer or Cloud Architect certification Great to have We back you with benefits that support your holistic well-being so you can be and deliver your best This means caring for you and your loved ones physical financial and mental health as well as providing the flexibility you need to thrive personally and professionally Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical dental vision life insurance and disability benefits depending on location Flexible working model with hybrid onsite or virtual arrangements depending on role and business need Generous paid parental leave policies depending on your location 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 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 Offer of employment with American Express is conditioned upon the successful completion of a background verification check subject to applicable laws and regulations