Blog/Data Architect Salary in India: What Sources Show (2026)

Data Architect Salary in India: What Sources Show (2026)

Three sources give three different Data Architect salary figures for India, ranging from about Rs 18 lakh to Rs 27 lakh. See all three side by side, with sample sizes and dates.

Quick answer: Data Architect salary figures for India vary noticeably across three sources. Indeed shows Rs 8,71,489/year, but based on only 2 salaries reported (updated 25 February 2026). Glassdoor shows a considerably higher Rs 29,00,000/year average total pay, based on 50 salaries. Payscale shows Rs 27,31,764/year for 2026, based on 87 salary profiles (updated 2 June 2026). Glassdoor and Payscale are closely aligned; Indeed's much lower figure is likely explained by its very small sample size.

Key takeaways

  • Indeed shows Rs 8,71,489/year for Data Architect, but based on only 2 salaries reported (updated 25 February 2026) - a very small, likely unreliable sample.
  • Glassdoor shows Rs 29,00,000/year average total pay, based on 50 salaries, a substantially larger and more reliable sample.
  • Payscale shows Rs 27,31,764/year for 2026, based on 87 salary profiles (updated 2 June 2026), closely aligned with Glassdoor.
  • Glassdoor and Payscale converge closely (within about 1%), while Indeed's figure is roughly 34-35% lower, most plausibly explained by its very small sample size rather than a genuine market difference.
  • Given the sample size discrepancy, the Rs 27-27.3 lakh range shown by Glassdoor and Payscale is likely more representative than Indeed's figure for this role.

Data Architect Salary in India: What Sources Show

This is the most robustly sourced of the specialized-role salary guides in this cluster, drawing on three live sources. Even so, one of the three sources shows a notably different figure, which is worth understanding rather than averaging away.

Indeed's Figure

Indeed India reports an average Data Architect salary of Rs 8,71,489 per year, but this is based on just 2 salaries reported, last updated 25 February 2026. A sample this small should be treated with significant caution.

Glassdoor's Figure

Glassdoor India reports a considerably higher average total pay of Rs 29,00,000 per year, with an average base pay of Rs 24,00,000 (range Rs 17,00,000 to Rs 32,00,000) plus roughly Rs 3,00,000 in average additional pay, based on a substantially larger sample of 50 salaries.

Payscale's Figure

Payscale reports Rs 27,31,764 per year for 2026, based on 87 salary profiles, last updated 2 June 2026. This figure is closely aligned with Glassdoor's, within about 1%.

Interpreting the Spread

Glassdoor and Payscale converge closely around Rs 27-27.3 lakh on a combined sample of 630 data points, while Indeed's figure, resting on just 2 salaries, is roughly 34-35% lower. The most plausible explanation is Indeed's very small, likely unrepresentative sample, rather than a genuine market difference. Rather than average all three sources together (which would let the unreliable Indeed figure distort the result), this guide presents all three transparently and flags the sample-size issue directly.

Why Seniority Matters Here

Data Architect is typically a senior role, reached after years of experience in data engineering or related fields (as covered in the Data Architect role guide). Aggregate salary figures like these blend all experience levels, but given the role's typical seniority profile, the reported figures likely skew toward mid-to-senior professionals rather than reflecting a true entry-level rate.

Key Takeaways

  • Indeed shows Rs 8,71,489/year, but based on only 2 salaries - a very small, likely unreliable sample.
  • Glassdoor shows Rs 29,00,000/year, based on 50 salaries.
  • Payscale shows Rs 27,31,764/year for 2026, based on 87 profiles, closely aligned with Glassdoor.
  • Glassdoor and Payscale converge closely; Indeed's figure is likely an outlier due to its tiny sample.
  • The Rs 27-27.3 lakh range from Glassdoor and Payscale is likely more representative than Indeed's figure for this role.

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