Data Pipeline Architecture Salaries

1 verified profiles
Last updated on February 6, 2026
Average salary is ₹19.4lakhs.

Employees who know Data Pipeline Architecture earn an average of ₹19.4lakhs, mostly ranging from ₹19.4lakhs to ₹19.4lakhs based on 1 profiles.

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Frequently asked questions
How much do Data Pipeline Architecture employees make?

Employees who know Data Pipeline Architecture earn an average of ₹19.4lakhs, mostly ranging from ₹19.4lakhs per year to ₹19.4lakhs per year based on 1 profiles. The top 10% of employees earn more than ₹19.4lakhs per year.

What is the average salary of Data Pipeline Architecture?

Average salary of an employee who know Data Pipeline Architecture is ₹19.4lakhs.

What is the median salary offered who know Data Pipeline Architecture?

The median salary approximately calculated from salary profiles measured so far is ₹19.4lakhs per year.

How is the age distributed among employees who know Data Pipeline Architecture?

This group has a lot of experience. 100% of employees lie between 36-41 yrs .

Frequently asked questions
How much do Data Pipeline Architecture employees make?

Employees who know Data Pipeline Architecture earn an average of ₹19.4lakhs, mostly ranging from ₹19.4lakhs per year to ₹19.4lakhs per year based on 1 profiles. The top 10% of employees earn more than ₹19.4lakhs per year.

What is the average salary of Data Pipeline Architecture?

Average salary of an employee who know Data Pipeline Architecture is ₹19.4lakhs.

What is the median salary offered who know Data Pipeline Architecture?

The median salary approximately calculated from salary profiles measured so far is ₹19.4lakhs per year.

How is the age distributed among employees who know Data Pipeline Architecture?

This group has a lot of experience. 100% of employees lie between 36-41 yrs .

Salary Brackets
Percentage
10-20 lakhs 10-20 lakhs
Percentage : 100
Age Brackets
Percentage
36-41 yrs 36-41 yrs
Percentage : 100
Skills
Trending
agile & scrum methodologies
100 %
big data technologies: spark, hadoop
0 %
ci/cd, docker
0 %
cloud platforms: azure, aws
0 %
data governance & security
0 %
data pipeline architecture
0 %
data warehousing (azure synapsis, redshift, snowflake, big query)
0 %
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