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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.
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Amazonについて

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
従業員数
Seattle
本社所在地
$1.5T
企業価値
レビュー
2.9
10件のレビュー
ワークライフバランス
2.8
報酬
3.7
企業文化
2.5
キャリア
2.3
経営陣
2.1
35%
友人に勧める
良い点
Good pay and compensation
Strong benefits package
Flexible scheduling options
改善点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
給与レンジ
4件のデータ
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0件のレポート
$108,330
年収総額
基本給
$43,332
ストック
$54,165
ボーナス
$10,833
$75,831
$140,829
面接体験
10件の面接
難易度
3.7
/ 5
期間
21-35週間
内定率
20%
体験
ポジティブ 10%
普通 10%
ネガティブ 80%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
ニュース&話題
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