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Data Architect @ Iris Software

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Iris Software  Data Architect

Job Description


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.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Architect
Employement Type: Full time

Contact Details:

Company: Iris Software
Location(s): Noida, Gurugram

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Keyskills:   Data Lake Data Warehousing Data Architecture Data Modeling Technical Architecture

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Iris Software

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