採用
必須スキル
SQL
AWS
3M has a long-standing reputation as a company committed to innovation. We provide the freedom to explore and encourage curiosity and creativity. We gain new insight from diverse thinking, and take risks on new ideas. Here, you can apply your talent in bold ways that matter.
Job Description:
Collaborate with Innovative 3Mers Around the World
Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.
The Impact You’ll Make in this Role
As a Data Architect, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by:
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Defining and governing enterprise data architecture standards that enable scalable, reliable, and reusable data products.
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Guiding architectural design for domain-aligned data products, ensuring alignment with enterprise and platform standards.
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Establishing reference architectures and best practices for data ingestion, transformation, analytics, and secure access.
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Partnering with Data Platform Engineering to align data product patterns with supported AWS and analytics platform capabilities.
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Ensuring architectural decisions account for data quality, lineage, observability, performance, scalability, and cost efficiency.
Your Skills and Expertise
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:
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Bachelor’s degree or higher (completed and verified prior to start)
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Minimum twelve (12) or more years of experience in data engineering, analytics engineering, or data architecture.
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Experience designing and governing data solutions on cloud platforms, with preference for AWS.
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Strong knowledge of Lakehouse or hybrid data architectures, SQL-based transformation, and analytical data platforms.
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Proven ability to influence and guide engineering teams without direct reporting authority.
Additional qualifications that could help you succeed even further in this role include:
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Master’s degree in computer science, Data Engineering, Information Systems, or a related discipline from an accredited institution
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Experience operating within a data product or domain-aligned delivery model
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Familiarity with data governance, observability, lineage, and cost management practices
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Experience working in a large, global enterprise environment
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Strong collaboration, communication, and technical leadership skills
Work Location & Additional Information
Bangalore, Karnataka (Hybrid)
Learn more about 3M’s creative solutions to the world’s problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M.
Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
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3Mについて

3M
PublicThe 3M Company is an American multinational conglomerate operating in the fields of industry, worker safety, and consumer goods.
90,000+
従業員数
Maplewood
本社所在地
$95B
企業価値
レビュー
3.4
10件のレビュー
ワークライフバランス
2.8
報酬
4.1
企業文化
3.2
キャリア
2.5
経営陣
2.9
62%
友人に勧める
良い点
Good pay and compensation
Good benefits package
Supportive managers and coworkers
改善点
Poor work-life balance
Difficult management and favoritism
Limited career advancement opportunities
給与レンジ
1件のデータ
L2
L3
L4
L5
L6
L2 · Financial Analyst L2
0件のレポート
$65,000
年収総額
基本給
$26,000
ストック
$32,500
ボーナス
$6,500
$45,500
$84,500
面接体験
1件の面接
難易度
3.0
/ 5
期間
14-28週間
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Culture Fit
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