Data Architect - Google Cloud Platform (GCP)

Who We Are

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's 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.

The Role

We are looking for a Data Architect to join Kyndryl's Applications, Data & AI (ADAI) practice, supporting strategic enterprise data transformation initiatives on Google Cloud Platform (GCP).

The ideal candidate combines strong architecture expertise with hands-on delivery experience designing modern, scalable, and governed data platforms.

This role will be responsible for defining end-to-end data architectures, translating business requirements into technical solutions, and leading implementation teams to deliver enterprise-grade data ecosystems.

Key Responsibilities:

• Design and define enterprise-scale data architectures on Google Cloud Platform (GCP).

• Gather business and technical requirements and translate them into scalable data platform strategies and implementation roadmaps.

• Design modern data ecosystems including data lakes, data warehouses, lakehouse architectures, and real-time processing solutions.

• Lead and mentor data engineering teams during implementation and delivery phases.

• Ensure solutions follow enterprise security, compliance, governance, and data quality standards.

• Collaborate with technical and non-technical stakeholders to align architecture decisions with business objectives.

Who You Are

Required Experience :

• 5+ years of experience designing and implementing enterprise data platforms and architectures.

• Strong experience with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, Composer, and Vertex AI.

• Proven expertise in modern data architectures including data lakes, data warehouses, and lakehouse patterns.

• Experience leading technical teams and coordinating implementation activities.

• Strong understanding of ETL/ELT frameworks, orchestration, and data integration patterns.

Preferred Technical Skills:

• Experience with dbt, Airflow, Spark, Kafka, Terraform, or Databricks.

• Familiarity with CI/CD, Infrastructure as Code, and DataOps practices.

• Knowledge of analytics and visualization platforms such as Looker, Power BI, or Tableau.

• Google Cloud certifications such as Professional Data Engineer or Professional Cloud Architect are highly valued.

Soft Skills

• Strong analytical and structured problem-solving mindset.

Being You

The "Kyn" 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 don't meet every requirement, we encourage you to apply. We believe in growth, and we're 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. That's The Kyndryl Way.