Technical Product Owner - Senior Engineer

Why Join Iris

Are you ready to do the best work of your career at one of India's Top 25 Best Workplaces in IT industry Do you want to grow in an award-winning culture that truly values your talent and ambitions

Join Iris Software — one of the fastest-growing IT services companies — where you own and shape your success story.

About Us

At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's top professionals to realize their full potential.

With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.

Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working with Us

At Iris, every role is more than a job — it's a launchpad for growth.

Our Employee Value Proposition, Build Your Future. Own Your Journey. reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it.

We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.

Curious what it's like to work at Iris Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.

Job Description

Key Responsibilities

• Backlog Ownership: Own, prioritize, and maintain the data product backlog (user stories, epics) based on business value, technical necessity, and ROI.
• Databricks Strategy: Define and execute the product roadmap for Databricks Lakehouse adoption, including data pipelines (ETL/ELT), Delta Lake optimization, and SQL analytics.
• Stakeholder Collaboration: Act as the key interface between business units (Marketing, Finance, etc.) and engineering, translating requirements into actionable technical tasks.
• Delivery Management: Drive end-to-end delivery of data products, including data quality, security, and performance testing before production release.
• Data Governance & Quality: Partner with data stewards to ensure data governance, security, and quality controls are implemented within the Data Lakehouse.
• Agile Leadership: Facilitate Agile ceremonies (sprint planning, backlog grooming, daily stand-ups) to ensure high-velocity delivery.
  
  

Required Skills & Experience

• Experience: 5+ years of experience as a Product Owner, Technical Product Owner, or Technical Product Manager in data-driven environments.
• Databricks Expertise: Hands-on experience with Databricks SQL, Notebooks, and workflows.
• Technical Knowledge: Strong understanding of modern data architectures (Medallion architecture, Data Lakehouse, ELT processes).
• Data Languages: Proficiency in SQL and familiarity with Python/Spark for data manipulation.
• Cloud Platforms: Proven experience working with cloud data services (Azure Data Factory, ADLS, or AWS/GCP equivalents).
• Agile Tools: Experience with Jira, Confluence, or similar Agile project management tools.
  
  

Nice to Have

• Experience with Machine Learning (MLflow) and Data Science use cases in Databricks.
• Experience with Data Governance tools (Unity Catalog).
• Familiarity with DevOps practices (CI/CD) in data engineering.
  
  

Key Competencies for Success

• Technical Empathy: Ability to understand technical constraints (performance, cost) and communicate effectively with data engineers.
• Ambiguity Management: Comfortable working in complex environments with changing or unclear requirements.
• Data Democratization: Passionate about making data easily consumable for business users.
  
  

Typical Educational Requirements

• Bachelor's degree in computer science, Data Engineering, Information Systems, or a related field.
  
  

Mandatory Competencies

Big Data - Big Data - Pyspark

Cloud - Cloud - Snowflake

Data Science and Machine Learning - Data Science and Machine Learning - Databricks

Data & AI - Data Engineering - Apache Kafka

Programming Language - Python - Apache Airflow

Database - Database Programming - SQL

Data Science and Machine Learning - Data Science and Machine Learning - Apache Spark

Data & AI - Data Engineering - Data Quality & Validation

Beh - Communication and collaboration

Perks And Benefits For Irisians

Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and well-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.