Presales Solution Architect - Data & AI

IN-KA-Bangalore

careers

Req #: 28205
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SoftwareOne

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				Overview:

SoftwareOne and Crayon have come together to form a global, AI-powered software and cloud solutions provider with a bold vision for the future. With a footprint in over 70 countries and a diverse team of 13,000+ professionals, we offer unparalleled opportunities for talent to grow, make an impact, and shape the future of technology. At the heart of our business is our people. We empower our teams to work across borders, innovate fearlessly, and continuously develop their skills through world-class learning and development programs. Whether you're passionate about cloud, software, data, AI, or building meaningful client relationships, you'll find a place to thrive here. Join us and be part of a purpose-driven culture where your ideas matter, your growth is supported, and your career can go global. 

Responsibilities:

We are looking for a passionate, forward-thinking Solution Architect - Data & AI (AWS) to help build intelligent, scalable, and data-driven solutions for our customers. In this role, you will architect next-generation analytics and Generative AI platforms on AWS, working closely with internal teams and clients to turn complex challenges into impactful cloud-native solutions. 

The ideal candidate should have a deep understanding of data analytics technologies, Generative AI , AWS and AI/ML services and a track record of architecting scalable and efficient data and AI driven solutions to address complex business challenges.

Responsibilities :

* Solution Architect - Data  & AI (AWS )to join our team will play a crucial role in designing and implementing data analytics and Generative AI solutions on the Amazon Web Services (AWS) platform. 
* Solution Design: Collaborate with multi-functional teams to capture requirements, design end-to-end data analytics solutions, and build architectural diagrams and documentation.
* AWS Expertise: Leverage your extensive knowledge of AWS services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, and others to architect robust data analytics platforms.
* Data Modeling: Design and optimize data models to support reporting, analytics, and business intelligence needs while ensuring data integrity and performance.
* Scalability and Performance: Architect solutions that are scalable, impactful, and cost-efficient, considering factors like data volume, query complexity, and user concurrency.
* Data Integration: Define data integration strategies to extract, transform, and load (ETL) data from various sources into the analytics platform, ensuring data consistency and quality.
* Security and Compliance: Implement security measures and standard processes to protect sensitive data and ensure compliance with industry standards and regulations.
* Solve and Optimization: Identify and resolve performance bottlenecks, data quality issues, and other challenges that may arise during implementation and operation.
* Collaboration: Work closely with data engineers, data scientists, business analysts, and collaborators to understand their needs and provide technical mentorship.
* Innovation: Stay up-to-date with industry trends and new technologies to recommend innovative solutions that improve our data analytics capabilities.

Qualifications:

* Extensive industry background with strong expertise in Solution Architecture and Pre-Sales, specializing in AWS Data and Generative AI
* Extensive hands-on experience with AWS services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, etc.
* Solid grasp of data modeling, ETL processes, data warehousing, and data governance principles.
* Familiarity with programming/scripting languages like Python, SQL, and experience with data manipulation and transformation.
* AWS certifications (e.g., AWS Certified Solutions Architect - Associate/Professional, AWS Certified Data Analytics - Specialty) are a plus.
* Experience in working with Agile methodologies and version control systems.
* Demonstrable ability to work independently and prioritise efficiently.
* Knowledge of Gen AI and AWS offerings like Bedrock and Q.
* Bachelors or associate degree in IT discipline 
* Certification -  AWS Certified Solution Architect and AWS Certified Data Analytics Specialty are must.
			
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