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Sr Data Architect

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Onsite

Sr Data Architect

Convegenius Edu

Sr Data Architect

Skills

Big DataSnowflakeDatabricksData AnalysisMachine LearningAI

1 month ago

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Important information


Contract type:

Permanent

Location:

Noida, Uttar Pradesh, India

Work mode:

Onsite

Published on:

14 September 2026

What they need


Job Summary

Does working for 150+ million children of Bharat excite you? Then this opportunity is for you!

Key Responsibilities

  • Design and own the enterprise data architecture: lakehouse structure, data flow, storage strategy, and governance model.
  • Build and maintain scalable data pipelines for batch and streaming workloads.
  • Define data governance standards: data cataloguing, lineage tracking, quality monitoring, and access control frameworks.
  • Design schemas and data models optimised for AI/ML consumption: feature stores, training data pipelines, label stores.
  • Architect real-time data processing systems for live learner signals, telemetry, and product analytics.
  • Evaluate and evolve the cloud data platform stack: Databricks, Snowflake, BigQuery, or equivalent.
  • Collaborate with ML teams on feature engineering infrastructure and training data reproducibility.
  • Establish data contracts and API-first data design patterns across consuming teams.
  • Drive performance optimisation, cost engineering, and reliability across the data platform.
  • Lead cross-functional data teams and manage stakeholder relationships across engineering, product, and business units.
  • Translate business requirements from skilling, education, and government contexts into scalable, pragmatic data architecture decisions.

Must-have skills

  • Strong experience in designing and implementing data solutions and platforms
  • Ability to work across multiple technologies, databases, cloud platforms, and data tools
  • Strong understanding of data architecture, integration, data modelling, and data flow design; hands-on experience designing and maintaining big data systems
  • Experience leading cross-functional teams and driving technical solutions
  • Excellent problem-solving, stakeholder management, and communication skills; strong hands-on ETL experience including building, optimizing, and maintaining ETL pipelines at scale
  • Experience translating business requirements into scalable data solutions
  • Familiarity with skilling, education, or workforce development domains is preferred

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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