{"id":4147234,"url":"https://alion.io/job/american-express-senior-data-engineer-i-23","title":"Senior Data Engineer I","company":{"id":2209,"name":"American Express","domain":"americanexpress.com","url":"https://alion.io/company/american-express","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":98,"open_postings":86,"ghost_share":0.035,"stale_share":0.07,"repost_share":0.233,"time_to_fill_p50_days":9,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Aurora","optional":false},{"name":"AWS","optional":false},{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"Configuration Management","optional":false},{"name":"Couchbase","optional":false},{"name":"Db2","optional":false},{"name":"DynamoDB","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Google Cloud Spanner","optional":false},{"name":"Least Privilege","optional":false},{"name":"Liquibase","optional":false},{"name":"MS SQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"ETL/ELT","optional":true},{"name":"Java","optional":true}],"status":"live","first_seen_at":"2026-11-12T06:19:53Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T07:38:35Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"We are seeking a highly skilled and experienced Senior Data Engineer with strong Development DBA expertise to design, develop, implement, optimize, and support enterprise-scale database solutions across Relational and NoSQL database platforms.\nThe ideal candidate will have extensive hands-on experience managing the end-to-end database development lifecycle, from requirements gathering, data modeling, and logical/physical database design through database development, deployment, performance tuning, optimization, and production implementation.\nThis role requires deep technical expertise across PostgreSQL, Oracle, Cassandra, Couchbase, Microsoft SQL Server, and IBM Db2 LUW, along with experience designing and implementing database solutions in AWS and/or Google Cloud Platform (GCP) environments.\nThe candidate will collaborate closely with application development teams, solution architects, infrastructure teams, and business stakeholders to deliver scalable, secure, resilient, and high-performing database solutions aligned with enterprise architecture standards.\n Key Responsibilities\n1. End-to-End Database Engineering Lifecycle\nOwn and drive the complete database development lifecycle, from initial requirements gathering through design, development, testing, deployment, optimization, and ongoing enhancements.\nCollaborate with business stakeholders, application teams, and solution architects to translate functional and non-functional requirements into robust database solutions.\nDevelop database architecture specifications, technical design documents, data models, and implementation strategies.\nLead database design reviews, code reviews, and technical solution assessments.\nEnsure database solutions meet enterprise standards for scalability, availability, performance, security, and maintainability.\n2. Data Modeling and Database Design\nDesign and develop conceptual, logical, and physical data models for Relational and NoSQL database platforms.\nApply appropriate data modeling methodologies, including normalization, denormalization, indexing, partitioning, and data distribution strategies.\nDesign database objects including tables, relationships, constraints, views, indexes, and other database objects.\nDevelop efficient data access patterns and storage models based on application workloads and business requirements.\nEvaluate database technology choices and recommend optimal relational or NoSQL solutions based on workload characteristics.\nDefine database standards, naming conventions, data integrity controls, and design best practices.\n3. Database Development and Engineering\nImplement database solutions across PostgreSQL, Oracle, SQL Server, Db2 LUW, Cassandra, and Couchbase.\nDesign and implement efficient transaction processing, concurrency handling, and data access mechanisms.\nPartner with application development teams to optimize database integration and application-to-database interactions.\nBuild reusable database components, development frameworks, and automation utilities.\n4. Database Performance Engineering and Optimization\nPerform proactive and reactive database performance tuning across relational and NoSQL platforms.\nAnalyze SQL execution plans, query performance metrics, database statistics, and workload characteristics to identify performance bottlenecks.\nOptimize query execution, indexing strategies, partitioning, memory utilization, concurrency, and database configurations.\nDiagnose and resolve issues involving locking, blocking, deadlocks, inefficient queries, and resource contention.\nConduct database workload analysis, performance benchmarking, capacity planning, and scalability assessments.\nCollaborate with application teams to improve end-to-end application and database performance.\n5. Database Deployment, DevOps, and Automation\nDesign and implement automated database deployment and release management processes.\nIntegrate database schema changes, SQL scripts, and configuration updates into CI/CD pipelines.\nImplement database version control, schema migration, release validation, and rollback strategies.\nUtilize tools including Liquibase, Git, GitHub Actions, or equivalent enterprise DevOps platforms.\nDevelop automation using Python, Shell scripting, and Infrastructure as Code technologies such as Terraform.\nEstablish repeatable, auditable, and reliable database deployment processes across development, testing, staging, and production environments.\n6. Cloud Database Engineering - AWS / GCP\nDesign, develop, deploy, and optimize database solutions hosted in AWS and/or Google Cloud Platform.\nWork with managed database services such as:AWS: Amazon RDS, Amazon Aurora, DynamoDB and applicable cloud-native database services.\nGCP: Cloud SQL, AlloyDB, Spanner, and other relevant managed database offerings.\n\nEvaluate and implement cloud database architecture patterns for high availability, scalability, disaster recovery, and cost optimization.\nSupport database modernization and migration initiatives from on-premises infrastructure to public cloud platforms.\nImplement cloud-native database monitoring, security, configuration management, and automation practices.\nCollaborate with cloud architecture and platform engineering teams to define database provisioning and operational standards.\n7. NoSQL Database Engineering\nDesign and optimize distributed NoSQL database solutions using Cassandra and Couchbase.\nDevelop data models aligned with application access patterns, partitioning strategies, and distributed data architectures.\nOptimize Cassandra partition keys, clustering keys, replication strategies, and query patterns.\nDesign Couchbase document structures, indexes, N1QL/SQL++ queries, and data access patterns.\nUnderstand distributed database concepts, including consistency models, replication, fault tolerance, and horizontal scalability.\nDiagnose and resolve NoSQL performance, data distribution, and application integration issues.\n8. Database Reliability, Security, and Production Readiness\nEngineer database solutions with appropriate availability, recoverability, resiliency, and disaster recovery considerations.\nIncorporate security requirements such as encryption, access controls, least-privilege access, and sensitive data protection into database designs.\nSupport database security and compliance requirements in regulated enterprise environments.\nConduct database production readiness assessments, deployment risk reviews, and performance validations.\nPartner with Production DBA, SRE, and infrastructure teams on production implementation, incident resolution, and root cause analysis.\nEstablish monitoring, observability, and operational handoff requirements for database solutions.\n9. Technical Leadership and Collaboration\nServe as a subject matter expert for database development DBA practices, and database performance optimization.\nProvide technical guidance and mentorship to database engineers and application development teams.\nInfluence database architecture decisions, technology selection, and engineering best practices.\nDrive continuous improvements in database design, development standards, automation, and engineering productivity.\nCollaborate across architecture, application development, cloud engineering, cybersecurity, and production support teams.\n Required Qualifications\nBachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience.\n10+ years of hands-on experience in database engineering, database development, or Development DBA roles within enterprise environments.\nDemonstrated experience owning end-to-end database development activities, from requirements analysis and logical/physical design through deployment and performance optimization.\nStrong expertise in SQL development, query optimization, database schema design, indexing, and execution plan analysis.\nHands-on engineering experience with multiple database technologies, including PostgreSQL, Oracle, Microsoft SQL Server, IBM Db2 LUW, Cassandra, and Couchbase.\nDeep expertise in at least two relational database platforms, with the ability to work across additional database technologies.\nPractical experience designing and optimizing NoSQL database solutions.\nHands-on experience with database services and engineering practices in AWS and/or GCP.\nExperience implementing database changes through automated DB CI/CD pipelines and schema migration frameworks.\nStrong understanding of database internals, transaction management, concurrency, locking, indexing, partitioning, and query optimization.\nStrong analytical, troubleshooting, technical documentation, and cross-functional communication skills.\nPreferred Qualifications\nExperience in large-scale enterprise, financial services, or other highly regulated environments.\nExperience with high-volume OLTP systems, mission-critical applications, and distributed database architectures.\nExperience with cloud database modernization, migration, and hybrid-cloud architectures.\nKnowledge of database replication, high availability, disaster recovery, and backup/recovery design principles.\nExperience with infrastructure automation using Terraform or similar tools.\nFamiliarity with database observability and monitoring solutions.\nExperience with data integration, ETL/ELT pipelines, and data engineering frameworks.\nKnowledge of data governance, data security, and regulatory compliance practices.\nExperience conducting database architecture assessments, performance benchmarking, and capacity planning.","description_format":"text","description_chars":9535,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Cards & Card Issuing","Payment Processing & Gateways"],"lifecycle":[{"event":"open","at":"2026-11-12T07:38:35Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":9,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-11-12T08:23:09Z"},"pay":null,"html_url":"https://alion.io/job/american-express-senior-data-engineer-i-23","json_url":"https://alion.io/job/american-express-senior-data-engineer-i-23.json","meta":{"generated_at":"2026-11-12T08:23:09Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":16888,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2209},"rest":"https://alion.io/mcp/rest/get_company?id=2209"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Famerican-express-senior-data-engineer-i-23"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Famerican-express-senior-data-engineer-i-23"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Famerican-express-senior-data-engineer-i-23"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/american-express-senior-data-engineer-i-23\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famerican-express-senior-data-engineer-i-23"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4147234}},{"tool":"search_jobs","arguments":{"company":"americanexpress.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4147234},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}