Senior Data Architect

4 weeks ago

bangalore, India Talpro Full time

As a Data Architect, you will be responsible for overseeing the technical direction of data/information within the organization's applications portfolio.

Your primary focus will be on delivering robust and scalable data architectures that align with the business goals of the organization.

Responsibilities :


- Technical Leadership : Provide technical thought leadership on High-Level Architecture and Design, data modeling, and data strategy & adoption for Ingestion and Analytics Applications within the IT domain.


- Stakeholder Engagement : Work closely with business and IT stakeholders to demonstrate the business value of new strategic platforms and build relationships to support program delivery and architecture adoption.


- Alignment with Business Strategy : Understand the overall business strategy and ensure that the corporate data management vision aligns with the goals of management and other stakeholders.


- Mentorship and Collaboration : Mentor other data developers and architects in the development of complex data/ETL/BI solutions.


- Collaborate with key stakeholders to ensure data architecture alignment with portfolio initiatives.


- Vendor Management : Monitor the work of vendor partner resources and collaborate with Database Administrators/Analysts to ensure the delivery of high-quality solutions.


- Business Intelligence Platform : Lead the architecture, design, and development of the business intelligence platform, ensuring scalability to handle increasing data demands.


- Support for Development : Provide support to Java programmers for the design of efficient and correct dynamic SQL :


- Bachelor's degree in Computer Science, MCA, BCA, or related field.


- Minimum of 8 years of experience in data management, modeling, data analysis, or reporting.


- Proven work experience as a Senior Data Architect, Data Scientist, Data Analyst, or similar role.


- In-depth understanding of database structure principles.


- Experience gathering and analyzing system requirements.


- Knowledge of data mining and segmentation techniques.


- Conceptual thinker with the ability to understand business objectives and translate them into technical solutions.


- Experience working with programming design and coding languages.


- Practical experience with a variety of data model tools (e.g., Sybase PowerCenter, Erwin, UML).


- Experience with architecture and deployment of software components into cloud-based infrastructures, particularly Amazon Web Services (AWS).

(ref:hirist.tech)

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