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.
PRIMARY RESPONSIBILITIES:
- Articulate and document a data architecture solution vision
- Develops conceptual, logical, and physical data models, and supports the development of data strategies by building roadmaps and creating processes to meet current and future needs
- Develop data frameworks and scalable approaches to support an evolving data architecture and integration needs that can be leveraged and re-used for new data-driven business products, services, and functions
- Provides recommendations on innovative data platforms, tools and services, and aligns decision-making with the organization's strategic data vision and all standard policies, processes, and procedures
- Develop and implement cloud data platforms to support product strategy and roadmap, advanced analytics, data science and SQL/NO-SQL datasets to give business, products, and operations a competitive advantage
- Oversees data architecture designs, business requirements, prototypes, testing, and training
- Provide strategic recommendations for technology adoption to improve productivity, collaboration, and efficiency
- Ensure data architecture and practices comply with relevant industry standards and regulations, such as GDPR, HIPAA, and CCPA
- Establish and enforce data quality standards and practices
- Adhere to ethical standards and comply with the laws and regulations applicable to your job function
- Manages a repository of documentation related to data architecture standards, protocols, and frameworks, and regularly evaluates for improvement opportunities
- Regularly review and update architecture documentation to reflect changes in technology and business needs
- Maintain the technology catalog and manage the technology adoption process
- Maintains currency with emerging technologies, leveraging industry knowledge and expertise to drive continuous improvement and innovation efforts in data architecture and related areas (e.g., APIs, LLMs, GenAI, Microservices, Event-based architectures)
- Continuously improve processes, technologies, and platforms to provide best value to business
- Identify cost-savings opportunities through the optimization of existing tools
- Facilitate cross team and cross component collaboration
Technical Expertise:
- Strong expertise in Azure Analysis Services (AAS), Power BI Premium Gen2, Azure Data Factory, Azure Synapse, Data/Delta Lake, Microsoft Fabric, and Data Pipelines.
- Proven experience in designing and implementing data solution on the Azure Platform
- Experience with cloud data platforms (e.g., AWS, Azure, Google Cloud) and data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
- Strong knowledge of SQL and experience with relational databases (e.g., Oracle, PostgreSQL, SQL Server).
- Experience with Pyspark framework building data lake (S3/Iceburg), data warehouse (on Redshift Serverless/Spectrum), EMR (serverless), pipelines & catalogs construction (Glue, Athena)
- Experience with NoSQL databases (e.g., DynamoDB, Cassandra) and big data technologies (e.g., Hadoop, Spark).
- Understanding of ETL processes and tools (e.g., Python). o Knowledge of data governance, data quality, and data security practices
Data Science and Machine Learning - Data Science and Machine Learning - Gen AI
BI and Reporting Tools - BI and Reporting Tools - Power BI
Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight
Cloud - AWS - Tensorflow on AWS, AWS Glue, AWS EMR, Amazon Data Pipeline, AWS Redshift
Big Data - Big Data - Pyspark
Cloud - Cloud - Snowflake
Data Science and Machine Learning - Data Science and Machine Learning - Apache Spark
Data Science and Machine Learning - Data Science and Machine Learning - Databricks
Database - Database Programming - SQL
Data Science and Machine Learning - Data Science and Machine Learning - Python
Cloud - AWS - AWS SNS, AWS SQS, AWS Kinesis
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.
