ONDC - Data Architect

2 weeks ago


New Delhi, India Open network digital commerce (ONDC) Full time

About the Role:- We are looking for an exceptional Data Architect to help design, scale, and optimize the next generation of India's open-commerce data infrastructure. At ONDC, we process 10 TB of data daily, maintain 1 billion+ live entities, and handle 300K+ requests per second - operating at true internet scale.- You will work at the heart of this system, shaping data platforms that meet all the three Vs of big data: volume, velocity, and variety.Key Responsibilities:Architect & Evolve Modern Data Platforms:- Design, optimize, and scale data lakehouse architectures across multi-cloud environments (AWS, GCP, Azure), supporting both ad-hoc analytics and batch workloads.Medallion & Lakehouse Design:- Implement and evolve bronze-silver-gold (medallion) data pipelines using columnar formats (Parquet, ORC, Iceberg) ensuring cost-efficient, schema-evolution-friendly storage.Data Discovery & Schema Governance:- Build and maintain central schema repositories and data discovery services leveraging technologies like AWS Glue, Hive Metastore, Apache Iceberg, and Delta Catalogs.Streaming Architecture:- Architect and deploy real-time data streaming frameworks using Kafka or Pulsar, ensuring low-latency data flow, schema validation, and replayability.Performance & Cost Optimization:- Identify and implement cost-saving measures across data pipelines - data compression, columnar optimization, storage tiering, and query performance tuning.Data Orchestration & Workflow Automation:- Build and maintain orchestration frameworks using Airflow, Dagster, or Argo Workflows, ensuring observability, failure recovery, and lineage tracking.OLAP Systems & Query Acceleration:- Design and tune analytical workloads using Snowflake, Redshift, ClickHouse, or Druid, supporting large-scale aggregation and real-time exploration.DevOps & Infrastructure as Code:- Collaborate with DevOps teams to define reproducible infrastructure using Terraform / CloudFormation / Pulumi. Deploy, monitor, and optimize Kubernetes-based data services.Natural Language Querying:- Contribute to frameworks enabling natural-language analytics, integrating LLM-powered question-answer systems over structured data.Required Skills & Experience- 8+ years of experience in data architecture, platform engineering, or distributed systems.- Proven expertise in Spark, Snowflake, Redshift, and SQL-based data modeling.- Hands-on experience with streaming (Kafka/Pulsar) and batch processing frameworks.- Deep understanding of cloud-native and cloud-agnostic architectures.- Practical experience implementing lakehouse / medallion models.- Strong grasp of data lineage, cataloging, governance, and schema evolution.- Exposure to columnar formats (Parquet/ORC) and query engines (Presto/Trino/DuckDB).- Familiarity with Kubernetes, Docker, and microservices-based data deployment.- Excellent problem-solving, documentation, and cross-team collaboration skills.Preferred Qualifications- Experience in designing central schema and data discovery layers at scale.- Prior exposure to large-scale public data networks (e.g., e-commerce, fintech, telecom).- Understanding of AI/LLM-driven data access or semantic query layers.- Contributions to open-source data infrastructure projects (nice to have).Why Join Us- Shape the data backbone of India's digital commerce revolution.- Work on massive-scale systems (10 TB/day, 1B+ entities, 300K RPS).- Collaborate with leading data engineers, architects, and policymakers.- Innovate at the intersection of data engineering, AI, and open networks. (ref:iimjobs.com)



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