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Lead Data Architect

Lead Data Architect

Canterr, Inc.Delhi, India
13 days ago
Job description

Job Title : Data Architect

Experience : 8–12 years

Location : Hyderabad (Hybrid Preferred)

Notice Period : Immediate to 30 Days

Company Type : Product-Based Technology Organization

About the Role

We are looking for a data architect to design and drive the next generation of our data platform that powers intelligent, data-driven product features and marketing decisions.

As part of a product-based company, you will architect solutions that handle massive data scale, ensure low latency for real-time experiences, and enable advanced analytics for customer engagement and personalization.

This role requires a hands-on architect who can balance system design, scalability, and data quality while collaborating closely with product, engineering, and analytics teams.

Key Responsibilities

  • Architect and own the end-to-end data ecosystem supporting product features, analytics, and marketing automation.
  • Design and implement data models, pipelines, and streaming frameworks using Kinesis or Kafka for real-time event ingestion.
  • Lead data transformations and modeling with DBT and Snowflake, ensuring performance and scalability for analytical workloads.
  • Integrate MongoDB for unstructured and semi-structured data, optimizing query and indexing performance.
  • Partner with backend (Node.js) and frontend (React) teams to build reliable APIs and dashboards for internal and product data insights.
  • Collaborate with marketing tech and product growth teams to enable segmentation, attribution modeling, and user behavior analytics.
  • Define data governance, access control, lineage, and compliance policies across systems.
  • Continuously evaluate emerging technologies to evolve the data stack and improve system efficiency.

Technical Skills

  • Databases : MongoDB, Snowflake (expert level)
  • Data Engineering & Modeling : DBT, SQL, ETL / ELT pipelines
  • Streaming Technologies : AWS Kinesis / Apache Kafka (real-time data flow)
  • Programming : Node.js (API / Data Services), React.js (visualization)
  • Cloud : AWS / GCP / Azure (preferably AWS ecosystem)
  • Marketing Technology (MarTech) : Customer Data Platforms (CDP), Campaign Automation, AdTech / Analytics Integrations
  • Architecture : Microservices, Event-Driven Systems, RESTful APIs
  • Strong understanding of scalable data systems, data reliability, and product analytics instrumentation.
  • Preferred Qualifications

  • Experience designing data architectures for SaaS or large-scale B2C / B2B products.
  • Proven background in building customer intelligence or marketing analytics platforms.
  • Experience with real-time recommendation systems, A / B testing platforms, or personalization engines.
  • Working knowledge of data observability tools (e.g., Monte Carlo, Great Expectations).
  • Familiarity with data privacy regulations (GDPR, CCPA) and secure data design principles.
  • Education

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or equivalent.
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