Data Architect & Modeler| Thane
Iaamcp Open · verified Oct 24, 2026 At a glance
Mid-level Data Architecture & Governance role at Iaamcp. Thane · full-time.
Pay not stated Data Architecture & Governance salary
dataroles summary, based on the employer's posting.
What you'll do
- Design and build data architectures that can scale while supporting the organization’s longer-term goals
- Create data models for analytics and reporting, keeping the intended use in view
- Protect data integrity and address security and compliance risks
- Work with business stakeholders to understand needs and deliver data solutions
- Improve data flows and handling processes to make them more efficient
What you bring
- A bachelor's degree in computer science, information technology or a related field
- Ten to fifteen years of experience
Who this fits
This role suits an experienced data architecture professional who can model data and work directly with business stakeholders. The position is based in Thane, India.
From the employer
To design and implement scalable and robust data architectures. The ideal candidate will model data for analytics and reporting, ensure data integrity, security, and compliance, and collaborate with business stakeholders to optimize data flows and processes.
- Design and implement scalable and robust data architectures.
- Model data for analytics and reporting purposes.
- Ensure data integrity, security, and compliance.
- Collaborate with business stakeholders to understand requirements and deliver solutions.
- Optimize data flows and processes to enhance efficiency and effectiveness.
- Strategic Data Management: Design and implement scalable data architectures to align with the long-term strategic goals of the organization.
- Enhanced Data Security and Compliance: Focus on data integrity, security, and compliance to minimize the risk of data breaches and regulatory fines, protecting the organization’s reputation and finances.
- Optimized Data Processes: Optimize data flows and processes to improve the efficiency of data handling, reduce costs, and enhance the speed of data-driven decision-making
Qualifications: Bachelor's degree in Computer Science, Information Technology, or related field (Master's degree preferred).
Experience: 10 to 15 years
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