Senior Data Engineer

American Express

. Mentor and coach Data Engineers while fostering technical excellence, innovation, knowledge sharing, and continuous improvement .

Posted 10/13/2026full-timePhoenix • Arizona • United StatesSenior💰 $123,000 - $215,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, optimizing, and administering large-scale database platforms, with a strong focus on cloud-native services and data engineering best practices. Proven ability to lead teams, mentor engineers, and drive technical innovation while ensuring database performance, security, and reliability.

Highest-signal resume keywords

Database Performance TuningCloud-Native Database PlatformsData Modeling and ArchitectureAgile MethodologiesMentoring and Coaching

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

OraclePostgreSQLMySQLMongoDBCassandraSQLPythonApache SparkTerraformData Modeling

Soft Skills

MentoringCollaborationProblem-SolvingCommunicationLeadership

Tools & Technologies

AWSGCPDockerKubernetesGitServiceNowJiraCI/CDER/StudioERwin

Industry Keywords

Big DataData EngineeringNoSQLOLTPOLAPData WarehouseData LakeDisaster RecoveryDatabase SecurityCloud Services

Tech Stack

Tools & technologies

ApacheAWSBigQueryCassandraCloudDistributed SystemsDockerDynamoDBETLGoogle Cloud PlatformITSMJavaKafkaKubernetesLinuxMongoDBMySQLNoSQLOraclePostgresPythonRedisServiceNowShell ScriptingSparkSQLTerraform

About the role

Key responsibilities & impact

Mentor and coach Data Engineers while fostering technical excellence, innovation, knowledge sharing, and continuous improvement
Lead and contribute within Agile teams, partnering with Product, Architecture, and Business stakeholders to deliver scalable data solutions and prioritize sprint work
Evaluate emerging database technologies and drive adoption of modern database features, cloud-native services, and engineering best practices
Design and implement scalable logical and physical data models for high-performance, resilient, and secure enterprise data platforms
Engineer, administer, and optimize relational, NoSQL, distributed, and cloud-native database platforms
Lead database performance optimization, including SQL tuning, execution plan analysis, indexing, partitioning, storage optimization, capacity planning, and workload management
Design and maintain highly available database architectures, replication, backup and recovery, and disaster recovery solutions
Establish and enforce standards for data architecture, database security, governance, automation, and operational practices
Develop Infrastructure as Code solutions and automation frameworks for database platforms
Design and optimize Big Data platforms using advanced data modeling, partitioning, indexing, and distributed data management
Integrate data platforms with cloud-native applications, CI/CD pipelines, containerized environments, and modern data engineering ecosystems
Collaborate with Product, Architecture, Security, and Business teams to align data platforms with strategic objectives and technology roadmaps
Lead root cause analysis for complex production incidents and improve database reliability, observability, performance, and operational resilience
Influence technical direction through technology evaluation, engineering standards, and modernization initiatives

Requirements

What you’ll need

Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related technical discipline; Master's degree preferred or equivalent professional experience
8+ years of experience designing, developing, administering, and optimizing large-scale (TB/PB) enterprise database platforms and data engineering solutions
Expert-level experience with Oracle, PostgreSQL, and MySQL
Strong experience with MongoDB, Couchbase, Cassandra, Redis, or equivalent distributed NoSQL platforms
Experience with YugabyteDB, Cassandra, or equivalent distributed SQL/NoSQL technologies
Experience with in-memory databases such as SingleStore, Redis, or Apache Ignite
Extensive experience with cloud-native database platforms and DBaaS/SaaS offerings on AWS and GCP, including Amazon RDS, Aurora, DynamoDB, Cloud SQL, BigQuery, Bigtable, MongoDB Atlas, Couchbase, and Yugabyte
Expertise in database performance tuning, SQL optimization, execution plan analysis, indexing, partitioning, optimizer statistics, concurrency, locking, memory management, replication, storage optimization, and capacity planning
Experience designing logical and physical data models using ER/Studio, ERwin, or equivalent
Experience with OLTP, OLAP, data warehouse, data mart, and Big Data platforms
Experience building scalable ETL/ELT, data integration, and distributed data processing solutions using Apache Spark and Kafka
Strong programming skills in Python and SQL; Java or other object-oriented languages a plus
Experience with Terraform, Docker, Kubernetes, Git, Linux, shell scripting, and CI/CD practices
Experience with ServiceNow, Jira, or similar ITSM and project management platforms
Experience with Agile methodologies, including Scrum, Kanban, and TDD
Deep understanding of relational, NoSQL, distributed, and cloud-native database architectures, storage engines, indexing, query optimization, replication, encryption, backup/recovery, HA, DR, and database security
Strong knowledge of distributed systems, multi-tier architectures, consensus algorithms, and scalable data platform design
Knowledge of Big Data ecosystems, data lake architectures, and modern data storage technologies
Understanding of XML, JSON, schema design, metadata management, and open-source databases
Knowledge of SAN, NAS, hyper-converged infrastructure, and cloud-native storage
Working knowledge of AI and GenAI, including LLM integration, vector databases, RAG, AI-assisted development, and AI-powered data engineering workflows
Strong understanding of observability, monitoring, SRE principles, and production operations
Proven ability to diagnose and resolve complex production issues across database, cloud, and distributed systems
Experience mentoring engineers and influencing architectural decisions
Visa sponsorship may be provided depending on business requirements, position, cost, and applicable laws

Benefits

Comp & perks

Annual bonus
Benefits