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Financial Services Solutions Architects are viewed as experts in their domain, and support customer engagements when those engagements require deep industry expertise, and a keen understanding of architectural and technical requirements. The Solutions Architects will influence the definition of the technical strategy for their industries by:
• Identifying patterns
• Defining technical trends that can affect the industry
• Publishing reference architectures
• Building industry quickstarts and other development kits
• Collecting technical best practices in the industry
Key job responsibilities• With the broader Financial Services team, develop technical elements of the strategic plan for accelerating adoption of AWS across the industry
• You will be responsible for establishing technical credibility in the sales cycle (personally or with the broader technical team) by supporting discussions across our Financial Services customers and partners
• Educate customers of all sizes on the value proposition of AWS within Financial Services, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud
• Capture and share best-practice knowledge amongst the AWS solutions architect community
• Author or otherwise contribute to AWS customer-facing publications such as whitepapers
• Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates
• Act as a technical liaison between customers, service engineering teams and support
• Serve as a technical domain expert on deploying Financial Services industry workloads and applications on AWS
• Architect solutions leveraging AWS technology, including solution development and potentially demonstrate technical feasibility through mechanisms including proof-of-concepts and/or prototypes
• Travel may be required for this role, up to 25%
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications
- Experience working in Financial Services organizations and implementing solutions in a regulated environment; driving technical and/or organizational change of significant complexity.
- Experience working as an architect, designing and implementing large-scale solutions in the Financial Services industry.
- Solid understanding of virtualization and/or cloud computing technologies.

- Knowledge of distributed systems design and implementation or equivalent
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers
- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud
- A strong understanding of AWS or other large-scale cloud services providers, and cloud-based services and delivery modes (Iaas, PaaS, SaaS)
- Deep experience with FSI-related applications, such as core insurance or banking systems, or big data architectures
- The ability to deal with ambiguity and work in a virtual team environment
- AWS certifications

Key job responsibilities
The candidate should possess strong skills in development with React.js, HTML5, CSS, and JavaScript (ES6+) is essential for building user interfaces efficiently.
Experienced in setting up and managing CI/CD pipelines using tools such as AWS CodePipeline, GitHub Actions, or similar platforms.Familiarity with Infrastructure as Code (IaC) tools like AWS CloudFormation, Terraform, or the AWS CDK is a valuable asset. Furthermore, an understanding of networking concepts like VPC, subnets, and security groups, as well as configuring Load Balancers and Route 53, is desirable.Key job responsibilities
Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
Experience tools for automation (building, testing, releasing or monitoring)
3+ years of DevOps or SysOps in a large-scale software development environment experience

- Experience in automating, deploying, and supporting infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix

- Experience with CI/CD pipelines build processes

We’re looking for a Senior Data Engineer who thrives on solving hard problems, shaping new capabilities, and delivering high-quality results in a fast-paced environment. You will be at the forefront of integrating LLM-powered solutions with robust backend systems, ensuring they scale securely and reliably to serve global customers.Key job responsibilities
- Architect and implement a scalable, cost-optimized S3-based Data Lakehouse that unifies structured and unstructured data from disparate sources.
- Lead the strategic migration from our Redshift-centric architecture to a flexible lakehouse model.
- Establish metadata management with automated data classification and lineage tracking.
- Design and enforce standardized data ingestion patterns with built-in quality controls and validation gates.
- Architect a centralized metrics repository that becomes the source of truth for all FBA metrics.
- Implement robust data quality frameworks with staging-first policies and automated validation pipelines.
- Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns.
- Develop intelligent orchestration for metrics generation workflows with comprehensive audit trails.
- Lead the design of semantic data models that balance analytical performance with AI retrieval requirements.
- Implement cross-domain federated query capabilities with sophisticated query optimization techniques.- Design and implement hybrid search strategies combining dense vectors with sparse representations for optimal semantic retrieval.

- 7+ years of data engineering experience with demonstrated expertise in distributed systems at scale.
- Deep technical knowledge of AWS data services (Glue, Kinesis, Redshift, S3, Lambda) and infrastructure-as-code.
- Proven experience designing and implementing enterprise Data Lakehouse architectures and metrics repositories.
- Strong programming skills in Python and/or Scala with expertise in distributed data processing frameworks.
- Track record of building high-performance, scalable data pipelines supporting mission-critical business operations.
- Experience with vector databases, embedding models, or AI-adjacent data infrastructure.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to ownThe ideal candidate will possess technical background and experience in installation, troubleshooting and maintenance of field sensors, controllers, wiring, networking and programming associated with the industrial controls systems. Controls Technicians shall be responsible for participating in the installation, testing, troubleshooting and startup of equipment and controls system associated with the BMS and EPMS system deployment in the data centers. They will verify, configure, and troubleshoot field devices including Air Handler Unit (AHU) controllers, Variable Frequency Drives (VFDs), Temperature and Pressure Sensors, and Third Party Network or Serial Devices, controllers and network equipment.Key job responsibilities
· Primarily working in field at Data Center sites and supporting multiple sites under Deployment and/or Service.
· Perform point to point checkouts between field devices and controllers.
· Perform first-line diagnostics, troubleshooting and maintenance of instrumentation associated with the BMS and EPMS in data centers.
· Perform network configurations and communication testing between third party devices and controllers or servers.
· Configuration and calibration of sensors.
· Able to read and understand Electrical schematics, control panel drawings. Basic understanding of close loop controls, field sensors scaling, AND/OR functions typically performed by industrial controllers.
· Supervise low voltage electrical contractors who perform wiring and installation of field devices.
· Commissioning and systems level testing support.
· Provide red-lined drawings and recommendations based on field work and verify accuracy of as-built drawings.
· Assist in performing root cause analysis during testing and commissioning.
· Ensure all personnel on site utilize proper safety methodology.
· Work on-call and a rotating schedule when required and responds to after-hours emergencies.
· Perform basic support concepts such as ticketing systems, root cause analysis, and task prioritization.Physical Requirements:· Walk jobsites in uneven terrain and work at heights and from ladders.
· Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or craw.
· On occasions, lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more.
· Work shifts longer than eight hours in duration.Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- 1+ years of technical work with computer systems and technology components experience, or experience in technical work related to computer systems and technology components
- 1+ years of electrical or mechanical, or 1+ years of data center or mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience
- Technical (Military/ Trade School) School diploma or Associate degree with one year experience related to industrial instrumentation/controls or equivalent electrical or mechanical operations experience.

- 1+ years of data center engineering, or 1+ years of data center or mission critical facilities (example: hospital, military facility, public safety facility, etc.) experience
- Bachelor's degree in electrical or mechanical engineering, engineering technology or equivalent
- Knowledge of network design and layout as well as low voltage (copper/ fiber) cabling
- International Society of Automation (ISA) Certified Controls System Technician (CCST) Level I or higher certification.
- Basic understanding of Industrial controls system, controllers, and programming including troubleshooting of industrial controls analog, discrete and networked input/output field signals.

Key job responsibilities
The role requires you to be able to manage the overall software development life-cycle which includes the following responsibilities:
- Report on status of development, quality, operations, and system performance to management.
- Work closely with engineers to architect and develop the best technical design and approach.
- Foster culture of continuous engineering improvement through mentoring, feedback, and metrics.
- Hire, coach, and mentor individuals; build a strong cross-functional organization.
- Partner with a diverse stakeholders to understand requirements, priorities, and processes.
- Propose and implement new projects or recommend system improvements.
- Set clear, measurable quality goals for an organization in a data-driven way.

- 3+ years of engineering team management experience
- 7+ years of engineering experience
- 8+ years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience partnering with product or program management teams

- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Key job responsibilities
- Early warning signals: Build and maintain statistical forecasts for FBA metrics; surface anomalies and leading indicators that predict KPI deterioration.- Reproducible pipelines & dashboards: Develop automated analytic pipelines (SQL + Python notebooks) and dashboards that operationalize forecasts and alerts for stakeholders.- Metric stewardship: Maintain and improve canonical KPI definitions, document assumptions, and ensure lineage and freshness for forecast inputs.

- 3+ years of tax, finance or a related analytical field experience
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 3+ years of business or financial analysis experience
- Bachelor's degree or equivalent
- Experience defining requirements and using data and metrics to draw business insights
- Experience with Excel
- Experience with SQL
- Experience making business recommendations and influencing stakeholders

We are seeking a Data Engineer I will support the GenAI-powered insights assistant by building pipelines that process unstructured data (knowledge articles and documents) in the S3 Data Lakehouse. You'll manage vector databases that store embeddings, helping the AI retrieve relevant info quickly and accurately.Key job responsibilities
- Develop metadata pipelines to tag documents with freshness, ownership, and other context for better filtering.
- Implement caching and multi-region replication to reduce query latency.
- Monitor data retrieval accuracy and log source citations to improve AI trustworthiness.
- Automate ingestion and embedding generation for unstructured data into vector databases like Zilliz, Pinecone, or OpenSearch.

- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- Strong expertise in AWS Glue, Redshift, Kinesis/MSK, Lambda.
- Hands-on with data contracts, lineage tracking, and automated QA.
- Familiarity with multi-modal data ingestion (structured + unstructured).
- Experience operationalizing cross-region replication and caching strategies.