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QBrainX Inc in Coimbatore seeks a Senior Data Architect / Data Modeler to design and manage scalable data architectures for complex enterprise systems. You will collaborate with stakeholders, analysts, and engineering teams to ensure data solutions align with business objectives and IT strategy.
The role emphasizes end-to-end data modeling, conceptual/logical/physical models, and selecting data technologies, while creating architecture diagrams and roadmaps across Azure and AWS cloud ecosystems.
Coimbatore South, India
We are seeking a highly experienced Senior Data Architect / Data Modeler to design, implement, and manage robust data strategies and architectures for complex enterprise systems. The ideal candidate will work closely with stakeholders, analysts, and engineering teams to ensure that data solutions align with business objectives and enterprise architecture.
Design end-to-end data architecture, integrating various data systems while ensuring alignment with business goals and IT infrastructure.
Collaborate with business analysts and stakeholders to understand data requirements and translate them into scalable and high-performing data models.
Develop conceptual, logical, and physical data models using tools such as DbSchema and MySQL Workbench.
Evaluate and recommend appropriate data technologies, frameworks, and platforms to meet evolving business and technical needs.
Create and maintain architecture diagrams and design documentation using tools like MS Visio and Lucidchart.
Drive the development of technology roadmaps, ensuring alignment with long-term business goals.
Address technical challenges, optimize system design, and ensure efficient data integration and processing.
Work on multiple client projects such as Servpro, Fire Birds, and Molex, providing tailored data solutions.
Technologies & Platforms:
Data Engineering Tools: Glue, Athena, Fabric, Lakehouse
Languages: SQL
Bachelor's or Master’s degree in Computer Science, Information Systems, or related field.
10+ years of hands-on experience in data architecture, data modeling, and enterprise data solutions.
Strong understanding of modern cloud ecosystems (Azure, AWS).
Proven ability to align data strategies with business objectives.