Senior Solutions Architect - Data & AI (Google Cloud Platform)
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Job description
We are looking for a senior, hands-on Solutions Architect to join Kyndrylâs Applications, Data & AI (ADAI) practice, supporting strategic enterprise data initiatives on Google Cloud Platform (GCP).
This role requires strong technical leadership, architecture expertise, and practical implementation experience designing scalable, secure, and modern data and AI solutions.
Key Responsibilities:
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Lead the design of end-to-end data and AI solution architectures on Google Cloud Platform.
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Define scalable architectures for data ingestion, storage, processing, analytics, governance, and AI enablement.
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Act as a hands-on architect, supporting engineering teams during implementation and delivery.
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Translate business and technical requirements into scalable solution designs and implementation roadmaps.
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Participate in proof-of-concepts, architecture validation, and technical design sessions.
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Support troubleshooting, performance optimization, and complex delivery challenges., * Google Cloud Professional Cloud Architect and/or Professional Data Engineer certifications are highly valued.
Leadership Expectations:
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Operate independently and take ownership of architecture decisions.
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Stay close to implementation and ensure designs are technically feasible. * Provide clear technical direction to delivery teams.
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Promote reusable patterns, automation, governance, and engineering excellence.
Being You
The âKynâ in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you donât meet every requirement, we encourage you to apply. We believe in growth, and weâre excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging - being a valued, respected, trusted member of the team - is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. Thatâs The Kyndryl Way.
What You Can Expect
Your career with us isnât just a job-itâs an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health-because we know that when you feel your best, you do your best.
From your very first day, youâll dive into impactful work that powers the systems our customers rely on every day. You wonât just contribute-youâll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth.
Weâre here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, youâll have everything you need to thrive and evolve. Youâll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities-from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, youâll be part of a culture that values empathy, restless learning, and a devotion to shared success.
We want you to thrive here-and weâre committed to helping you do just that. Ready to make an impact? Join us and help shape whatâs next.
Requirements
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7+ years of experience as a Solutions Architect, Data Architect, Cloud Architect, or Lead Engineer.
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Proven experience designing and delivering enterprise-scale data and analytics platforms.
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Strong expertise with Google Cloud Platform services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Composer, Vertex AI, IAM, and networking components.
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Practical experience with data integration, ETL/ELT, APIs, streaming architectures, and distributed systems.
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Strong understanding of modern data architectures including data lakes, data warehouses, lakehouse patterns, and real-time analytics.
Preferred Technical Skills
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Experience with Spark, Kafka, Airflow, dbt, Terraform, Kubernetes, or Databricks.
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Knowledge of CI/CD, Infrastructure as Code, DataOps, and cloud-native engineering practices.
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Familiarity with analytics platforms such as Looker, Power BI, or Tableau.
About the company
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the worldâs leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.
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