Iris Software - Data Architect

Role & Responsibilities :

- Design and implement scalable cloud data architectures for analytics, BI, and data science.

- Build and manage ETL/ELT pipelines using Databricks, Spark, AWS Glue, and Lambda.

- Create and maintain data models, schemas, and cloud architecture blueprints.

- Work with AWS services (S3, Redshift, Athena, DynamoDB, EMR)/Azure.

- Ensure data governance, quality, and security across platforms.

- Optimize pipelines for performance and availability.

- Support BI modernization and transition from Qlik to Sigma BI.

- Collaborate with data science, engineering, and business teams.

- Mentor junior engineers and promote best practices.

Preferred Candidate Profile :

- 12+ years of experience in Data Architecture / Data Engineering.

- Strong hands-on experience with AWS + Databricks + Spark.

- Proficiency in Python, SQL, Scala.

- Strong knowledge of data lakes, warehouses, relational DBs.

- Experience with BI tools (Qlik, Sigma, Power BI, Tableau, etc.).

- Exposure to real-time pipelines (Kafka/Flink) is a plus.

- Familiarity with ML workflows preferred.

- Strong communication, problem-solving, and stakeholder management skills.