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Data Engineering Manager , CMT

Reads like a Data Leadership role: running a data team.

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: full-time
From the employer’s posting

What you’ll work on

Full posting
  • Own technical delivery and team leadership for ETL/big data pipelines, semantic layers, and dashboard data models

  • Implement GenAI solutions for automated reporting and predictive analytics

  • Lead data governance and quality standards

  • Establish engineering best practices such as code reviews, testing, monitoring, and documentation

  • Mentor, coach, and grow team members' careers

From the employer’s posting
Own technical delivery and team leadership for development and maintenance of scalable ETL/big data pipelines, semantic layers, and dashboard data models.
Implementation of GenAI solutions for automated reporting, diagnostic, predictive & prescriptive analytics.
Leadership in data governance and quality standards.
Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation.
Drive team growth through mentoring, coaching, and career development.

What you’ll bring

All qualifications

Core experience

  • 8+ years of data engineering experience
  • Experience managing a data or BI team
  • Experience with data modeling, warehousing and building ETL pipelines
  • Strong SQL skills
  • Proficiency in a modern scripting or programming language such as Python, Java, Scala, or NodeJS
Qualification wording
8+ years of data engineering experience
Experience managing a data or BI team
Experience with data modeling, warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
Education & alternatives
Basic qualifications - 8+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience managing a data or BI team - Experience leading and influencing the data or BI strategy of your team or organization - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience hiring, developing and promoting engineering talent - Bachelor's degree or above in computer science, computer engineering, or related field Preferred qualifications - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with AWS Tools and Technologies (Redshift, S3, EC2)
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Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 13, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 14, 2026
Employer says posted
Jun 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 8 and day 57.

From 9,496 similar postings that came down. Coming down is not always a hire.

Amazon is hiring

549 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • Scala
  • SQL
  • AWS
  • Hadoop
  • Hive
  • Redshift
  • S3
  • Spark
Where the posting names them
Basic qualifications - 8+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience managing a data or BI team - Experience leading and influencing the data or BI strategy of your team or organization - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience hiring, developing and promoting engineering talent - Bachelor's degree or above in computer science, computer engineering, or related field Preferred qualifications - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with AWS Tools and Technologies (Redshift, S3, EC2)
- 8+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Experience managing a data or BI team - Experience leading and influencing the data or BI strategy of your team or organization - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience hiring, developing and promoting engineering talent - Bachelor's degree or above in computer science, computer engineering, or related field Preferred qualifications - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with AWS Tools and Technologies (Redshift, S3, EC2) 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.

Your next step

Complete your application on www.amazon.jobs. The employer’s form will show what is required.

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About Amazon

People
About 1,207,759 in 2024.Benefit plan filings (Form 5500)
Company
Listed as AMZN.
H-1B visas
6,217 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices
Notices this year and last cover 2,978 people. The latest was filed November 2, 2026.State WARN notices

Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 754, the most 1,166, and the latest week had 892.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Are you interested in diving deep into data, and engineering the metrics model that drives continuous improvement for Amazon’s pricing systems? Do you have solid problem-solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need for Amazon’s products? Then CMT data Platform and Analytics is the team for you. We are part of building one the best, most reliable, and most feature-rich data platform that drives best pricing experience possible and are looking for a good DE Manager. You will lead a team of Data Engineers and Business Intel Engineers as part of the Data Platform and Analytics team in the Competitive Monitoring team aka CMT.

We are looking for an experienced and technically skilled individual to lead a team of Data and Business Intelligence Engineers. The ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused engineering leader who will play a key role in continuous improvement for the critical systems that enable our pricing business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions.

The ideal candidate is a motivated self-starter that can work in a fast paced, ambiguous environment with limited supervision and who can quickly absorb the nuances of Amazon's varied pricing programs and processes.


Key job responsibilities
Delivery of robust, scalable data solutions supporting CMT data infrastructure.
- Leadership in data governance and quality standards.
- Implementation of GenAI solutions for automated reporting, diagnostic, predictive & prescriptive analytics.
- Own technical delivery and team leadership for development and maintenance of scalable ETL/big data pipelines, semantic layers, and dashboard data models.
- Collaborate with Product/Program Managers, BI teams, and stakeholders to prioritize work aligned with CMT business goals.
- Establish best practices for data engineering, including code reviews, testing, monitoring, and documentation.
- Drive team growth through mentoring, coaching, and career development.


Basic qualifications

- 8+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience managing a data or BI team
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience hiring, developing and promoting engineering talent
- Bachelor's degree or above in computer science, computer engineering, or related field

Preferred qualifications

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)

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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Location & working pattern

Bengaluru, Karnataka, IND

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