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Technical Product Owner - Senior Engineer

Iris SoftwareNoida, Uttar Pradesh, IndiaPosted 21 May 2026

Iris Software is seeking a Technical Product Owner to drive their data product strategy within Databricks environments. The role involves managing backlogs, defining roadmaps for data pipelines, and bridging communication between business units and engineering teams. Candidates must possess strong technical knowledge in modern data architectures and hands-on experience with SQL, Spark, and cloud platforms. This is an impactful role focused on data democratization and high-velocity delivery in complex enterprise settings.

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Experience

5+ years

Function

Product Management

Work mode

Onsite, India

Company

Tier 2

What you will work on

Iris Software is seeking a Technical Product Owner to drive their data product strategy within Databricks environments. The role involves managing backlogs, defining roadmaps for data pipelines, and bridging communication between business units and engineering teams. Candidates must possess strong technical knowledge in modern data architectures and hands-on experience with SQL, Spark, and cloud platforms. This is an impactful role focused on data democratization and high-velocity delivery in complex enterprise settings.

TAL's take

Quality 55/1005/5 clarityTier 2 company

Solid role at a large, established IT services firm, though lacking the prestige of top-tier product companies.

Clear backlog ownership and technical responsibilities related to Databricks and data architecture.

Salaries at Iris Software

27.7 LPA average

Based on 13 Grapevine salary entries for Iris Software.

View all salaries

Engineering

6 - 8 years | Senior Test Software Engineer

25 LPA average

Range: 25 - 25 LPA

Other roles

6 - 8 years | Senior Test Software Engineer

23 LPA average

Range: 23 - 23 LPA

Engineering

8 - 10 years | Head

21 LPA average

Range: 13 - 30 LPA

Other roles

8 - 10 years | Head

16 LPA average

Range: 9 - 22 LPA

Must haves

  • 5+ years as Product Owner or Technical Product Manager
  • Hands-on experience with Databricks SQL and Notebooks
  • Understanding of Medallion architecture and Data Lakehouse
  • Proficiency in SQL and Python/Spark
  • Experience with cloud data services like Azure Data Factory

Tools and skills

pysparksnowflakedatabricksapache kafkaapache airflowpythonsqldata qualityazure data factoryadlsjiraconfluence

Nice to have: mlflow, unity catalog, ci/cd.

About the company

Established IT services company with significant workforce, but not a Tier 1 product unicorn.

Posts mentioning Iris Software