Sirion Pte Ltd

Data Architect - 300823

Sep 05, 2023

Gurugram, Haryana, India

Sirion is a Contract Lifecycle Management Leader! At least that’s what premiere analysts such as Gartner, Forrester, and IDC believe. We are SaaS innovators, working at the intersection of artificial intelligence and legal technology to transform how businesses contract for success. Our product is trusted by Fortune 500s and major global enterprises such as Schneider, Morgan Stanley, Qantas, Unilever, IBM, Vodafone, Alstom, and Novartis, to create, negotiate, and manage 5+ million contracts worth more than $450bn across 70+ countries around the world. We are on a hypergrowth journey and our recently closed $110 million Series D funding is adding to our momentum


Job Role: Data Architect

Years of Experience required: 15+ years

Work Location: Gurgaon

Job Description

  • Data Modelling
  • ETL process
  • Data warehouse understanding
  • Reporting and Analytical skill
  • Relational database (SQL Server, Oracle) understanding
  • Performance Optimization
  • AWS Glue
  • Data Lake
  • Ingestion Process (Batch/Stream)
  • Data Governance
  • API management
  • Analytical skill
  • Data analysis
  • AI/ML good to have
  • IAM & RBAC Exposure
  • AWS Cloud Expertise


  • Architecting Large Scale Big-Data/Data Analytics solutions
  • Architecture/Design Patterns for multiple Databases and Cloud systems
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability

Good to have skills:

  • Experience in AWS cloud services like EMR, S3, Redshift, EKS/ECS etc
  • Experience in GCP cloud services like Dataproc, Google storage etc
  • Experience in working with huge Big data clusters with millions of records
  • Experience in working with ELK stack, specially Elasticsearch
  • Experience in Hadoop MapReduce, Apache Flink, Kubernetes etc

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