- Associate Data Architect

6 days ago

Delhi, Delhi, India 1Buy Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Platform Overview
1Buy is a revolutionary platform transforming electronics supply chain through workflows, advanced analytics, pricing intelligence, compliance tracking, and risk management. Our technology integrates global data sources, AI-driven insights, and seamless enterprise connectivity to empower businesses with unparalleled clarity, agility, and decision-making capabilities.

Position Overview
We are hiring a hands-on Data Engineering Lead with 6+ years of experience and a track record of managing at least 2 Data Engineers. You will lead a small team while still writing code, designing pipelines, and owning delivery. Your mission is to deliver clean, timely, lineage-rich data that powers analytics, AI, and customer-facing products.

What Youll Do

  • Lead a small data engineering team
  • Manage and mentor 23 Data Engineers through clear goals, feedback, and 1:1s
  • Hire, onboard, and level up the team with code reviews, pairing, and learning plans
  • Own ingestion and integration
  • Run source-system analysis and negotiate data contracts with internal and external partners
  • Acquire external data with agreed SLAs and quality gates
  • Build batch and streaming ingestion with Airflow DAGs, Kafka topics, and Debezium CDC
  • Shape models and governance
  • Own & evolve schemas and metadata across MongoDB, OpenSearch, and ClickHouse
  • Build transformations with dbt and Spark, including SCD Type 2 and incremental CDC models
  • Populate OpenSearch and ClickHouse from MongoDB for search and analytics
  • Optimize reliability and cost
  • Define freshness, completeness, and accuracy SLAs with automated monitoring and alerts
  • Cut cost via partitioning, clustering, compression, and tiered storage
  • Publish and protect data
  • Ship a clear semantic layer and BI artifacts in OpenSearch Dashboards
  • Enforce GDPR and DPDP compliance, lineage capture, and role-based access controls
  • Run a practical Agile process
  • Shape work with Product and Analytics, estimate sanely, and keep delivery predictable
  • Drive effective standups, reviews, and retros that improve outcomes

What Youll Bring

  • 7+ years in data engineering or adjacent software roles, with production systems shipped
  • Experience managing 2+ Data Engineers while remaining hands-on
  • Strong Python skills for pipeline development and tooling

Proven Work With

  • Apache Airflow for orchestration
  • Dbt & Great Expectations for ELT and testing
  • MongoDB for OLTP and as a primary data store
  • Apache Kafka and Debezium for streaming and CDC
  • ClickHouse for analytics and OLAP
  • OpenSearch for vector, semantic, and full-text search
  • Spark for scalable transforms
  • AWS for Hosting & Services
  • Solid grasp of data modeling, SCD Type 2, CDC, and event-driven designs
  • Experience in Agile or scrum environments, with clear communication and pragmatic decision-making

Nice To Have

  • Domain knowledge in Supply Chain or Procurement
  • Experience defining and enforcing data contracts with upstream teams
  • Privacy and security knowledge, including GDPR and DPDP application
  • Infra as code, CI/CD for data, and observability at scale

How We Work

  • Pragmatic Agile. Lightweight ceremonies, strong ownership.
  • Code quality over flash. We value readable code, tests, and useful docs.
  • Accountability without drama. We surface risks early and fix issues fast.
  • Continuous improvement. We measure, learn, and get better every sprint.

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