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Data Solution Architect

Northern Tool + Equipment India

2 - 5 years

Hyderabad

Posted: 18/04/2026

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Job Description

At Northern Tool + Equipment we get up every day to serve the tradespeople who keep our country running strong and the weekend warriors who want to work like them. Its our mission to make sure they have the right tools for the job, and an easy, hassle-free experience at our store so they can get in, get out and get on with the job at hand. Your top priority as a Data Solutions Architect is to enable analytics by translating business needs into technical solutions. Youll work between business teams and engineers to design data models, reports, dashboards, and integrations that bridge internal and external systems. Your positive, professional, roll-up-your-sleeves-to-help attitude contributes to our winning culture and makes sure we leave a lasting impression.


Key Responsibilities:


  1. Design and support the implementation of data pipelines, system integrations, storage solutions, and enterprise dashboards.
  2. Develop and optimize data structures for performance, scalability, and longterm maintainability.
  3. Collaborate closely with business stakeholders, analysts, engineers, and data scientists to translate requirements into actionable solutions.
  4. Deliver welldocumented, reusable, and maintainable data assets.
  5. Serve as a subject matter expert across multiple data domains, anticipating strategic needs and validating the accuracy of existing reporting.
  6. Mentor analysts on solution design best practices.
  7. Coach analysts and data scientists on effective querying techniques and optimal use of available data resources.


What you will bring to the table:


  • 8+ years of experience in data engineering, data architecture, or a related technical field.
  • Strong SQL and ETL development skills.
  • Experience with cloud data platforms (Azure preferred).
  • Experience analyzing and/or building data models for supply chain or logistics capabilities (highly desired).
  • Bachelors or Masters degree in a technical discipline (e.g., Computer Science, Engineering, Information Systems).
  • Ability to work crossfunctionally and communicate complex concepts clearly.

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