Data and AI Architect
INMANBP Bangalore (INMANBP) Manyatha, India
Kyndryl
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day.Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
The Role
Are you ready to join a team that is passionate about solving complex business problems with cutting-edge technology? Kyndryl is seeking a talented Data Architect who will take charge of all things data and information, transforming them into remarkable solutions that drive our customers’ success. Get ready to unleash your creative prowess and shape the future of data management.
As a Data Architect with Kyndryl, you will play a vital role in managing all aspects of data and information, from understanding business requirements to translating them into data models scheme design and data architectures. Your expertise will be critical in guiding the full IT data lifecycle governance , including acquisition, transformation, classification, storage, presentation, distribution, security, privacy, and archiving to ensure data is accurate, complete and secure.
You will work closely with our customers to design solutions and data architectures that address their unique business problems, considering their needs and constraints while applying your industry knowledge and expertise. You will have the opportunity to work with diverse technologies, like databases (relational, hierarchical and object-oriented), file systems and storage management, document imaging, knowledge and content management, taxonomies and business intelligence. All relevant for designing business-driven IT solutions that meet data requirements and incorporate cloud solutions for different types of storage needs.
As a Data Architect, you will have the chance to develop and design centralized or distributed systems that both address user requirements and perform efficiently and effectively. You will ensure the viability of proposed solutions by conducting solution assurance assessments and work closely with the project team and key stakeholders to ensure that the final solution meets all customer requirements and expectations.
At Kyndryl, you'll be part of a dynamic, forward-thinking team where creativity knows no bounds. Together, we'll shape the future of data architecture and revolutionize the way businesses thrive. Apply now and take the first step towards an exciting and rewarding career with Kyndryl.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career, from a Junior Architect to Principal Architect – we have opportunities for that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms.
Who You Are
You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.
Required Technical and Professional Expertise:
10+ Years experience in data modeling, database design, and data management best practices.
Proven expertise in architecting data and AI platforms using GCP.
Hands-on experience with BigQuery, Dataflow, VertexAI, and Gemini.
Proficiency in Python and SQL for data processing, transformation, and automation.
Deep understanding of Generative AI, Agentic AI, and related architectures.
Experience implementing GenAI-based applications using tools such as Langchain and Langraph.
Solid background in building scalable and secure data pipelines and storage systems in cloud environments.
Preferred Technical and Professional Experience:
Experience with cloud-based data platforms, integration, and governance frameworks across Azure, AWS, or GCP.
Knowledge of machine learning lifecycle management, model monitoring, and MLOps best practices.
Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
Being You
Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.
What You Can Expect
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
Get Referred!
If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure BigQuery Business Intelligence Classification Computer Science Dataflow Data management Data pipelines Distributed Systems Engineering GCP Gemini Generative AI LangChain Machine Learning MLOps Pipelines Privacy Python Security SQL Vertex AI
Perks/benefits: Career development
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