热门公司

招聘

职位Amazon

Data and Analytics Architect, AWS FinTech

Amazon

Data and Analytics Architect, AWS FinTech

Amazon

Hyderabad, TS, IND

·

On-site

·

Full-time

·

2w ago

We are seeking an experienced Data and Analytics Architect to join our team. The ideal candidate will be responsible for leading the design, implementation, and support of scalable data and analytics solutions on AWS, enabling trusted reporting, enterprise insights, and seamless integration across enterprise platforms. The primary focus of this role is AWS-based data engineering, analytics architecture, and modern data platform design, with SAP knowledge considered a strong advantage.

  • Key job responsibilities
  • Lead the design, implementation, and support of enterprise data and analytics solutions on AWS.
  • Architect scalable data platforms using AWS services such as Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena, Amazon Quick Suite, AWS Lambda, and related AWS data services.
  • Define and implement data ingestion, transformation, storage, semantic modeling, reporting, and analytics patterns across structured and semi-structured data sources.
  • Design and optimize enterprise data pipelines, batch and near real-time data processing, and reporting architectures.
  • Ensure data quality, governance, security, and operational controls are built into the platform architecture.
  • Work closely with business, finance, IT, and application teams to design reliable and scalable data solutions aligned with business requirements.
  • Develop and maintain architecture standards, design documents, data flow diagrams, and support procedures.
  • Monitor data pipelines, analytics platforms, and reporting solutions for failures, performance issues, and data quality concerns, and drive corrective actions.
  • Lead implementation, migration, modernization, and enhancement initiatives across data and analytics platforms.
  • Support integration with enterprise platforms, including SAP and non-SAP systems where required.

Basic Qualifications

  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Fire Hose, Lambda, and IAM roles and permissions
  • 6+ years of data engineering, database engineering, business intelligence or business analytics experience
  • 8+ years of relevant experience in data engineering, analytics, data warehousing, or enterprise data platform implementation and support.
  • Experience designing scalable data pipelines and cloud-based analytics solutions across complex enterprise environments.
  • Excellent analytical, problem-solving, and stakeholder management skills, with the ability to work independently and as part of a team.

Preferred Qualifications

  • Knowledge of SAP data and analytics platforms such as SAP S/4HANA, BW, Datasphere, or SAC is good to have.
  • Experience with real-time or event-driven data processing patterns.
  • Experience with data lake, data warehouse, and hybrid analytics architecture patterns.
  • Experience with enterprise reporting, KPI frameworks, and dashboard design.
  • Knowledge of finance, supply chain, or enterprise operational reporting domains.
  • Experience leading data modernization or cloud transformation initiatives.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

总浏览量

0

申请点击数

0

模拟申请者数

0

收藏

0

关于Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

2.9

10条评价

工作生活平衡

2.8

薪酬

3.7

企业文化

2.5

职业发展

2.3

管理层

2.1

35%

推荐给朋友

优点

Good pay and compensation

Strong benefits package

Flexible scheduling options

缺点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

薪资范围

4个数据点

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试经验

10次面试

难度

3.7

/ 5

时长

21-35周

录用率

20%

体验

正面 10%

中性 10%

负面 80%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge