Technical Product Owner - Senior Engineer
Iris Software Inc. · Noida, Uttar Pradesh, India
- On site
- Full-time
- $120,000 / year
- Noida, Uttar Pradesh, India
Job highlights
- Own and prioritize data product backlog.
- Define Databricks Lakehouse roadmap.
- Bridge business and engineering teams.
- Drive end-to-end data product delivery.
- Lead Agile ceremonies for delivery.
About the role
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.
Key skills/competency
- Product Backlog Management
- Databricks Lakehouse
- Data Pipelines (ETL/ELT)
- Stakeholder Management
- Agile Methodologies
- Data Governance
- SQL
- Python
- Cloud Data Services
- Data Product Delivery
Skills & topics
- Technical Product Owner
- Product Owner
- Databricks
- Data Lakehouse
- SQL
- Python
- Spark
- Cloud Data Services
- Agile
- Data Engineering
- Azure
- AWS
- GCP
- Jira
- Confluence
How to get hired
- Tailor your resume: Highlight 5+ years in product ownership and Databricks expertise.
- Showcase technical skills: Emphasize SQL, Python/Spark, and cloud data services experience.
- Demonstrate Agile leadership: Mention experience with Jira, Confluence, and facilitating ceremonies.
- Address key competencies: Prepare examples of technical empathy and ambiguity management.
- Network within Iris: Explore the company culture and connect with current employees.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus of the Technical Product Owner role at Iris Software Inc.?
- The Technical Product Owner role at Iris Software Inc. is centered around owning and prioritizing the data product backlog, defining the strategy for Databricks Lakehouse adoption, and driving the end-to-end delivery of data products while collaborating closely with business units and engineering teams.
- What specific Databricks experience is required for this Technical Product Owner position?
- The role requires hands-on experience with Databricks SQL, Notebooks, and workflows. A strong understanding of modern data architectures like the Medallion architecture, Data Lakehouse, and ELT processes is also essential.
- How does Iris Software Inc. support career growth for Technical Product Owners?
- Iris Software Inc. emphasizes career growth through its "Build Your Future. Own Your Journey." Employee Value Proposition. This includes opportunities for personalized career development, continuous learning, mentorship, and working on cutting-edge projects to help professionals realize their full potential.
- What are the key technical skills needed for the Technical Product Owner role at Iris Software Inc.?
- Key technical skills include proficiency in SQL and familiarity with Python/Spark for data manipulation. Experience with cloud data services such as Azure Data Factory, ADLS, or their AWS/GCP equivalents, and tools like Jira and Confluence are also required.
- What type of data environments does Iris Software Inc. work with?
- Iris Software Inc. works with complex, mission-critical applications and modern data architectures, including Data & Analytics, Cloud, DevOps, Data & MLOps, and Business Automation. They utilize technologies like Databricks Lakehouse, Delta Lake, and cloud data services.
- How important is stakeholder collaboration for this Technical Product Owner role?
- Stakeholder collaboration is critical. The Technical Product Owner acts as the key interface between business units (like Marketing and Finance) and the engineering team, translating business requirements into actionable technical tasks.
- What differentiates Iris Software Inc. as an employer?
- Iris Software Inc. is recognized as one of India's Top 25 Best Workplaces in the IT industry, offering an award-winning culture, significant growth opportunities, and a focus on employee value proposition where individuals own their career journey and contribute to impactful projects.