Partially Remote
Full time
At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. 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 idóneo 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.
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.
- 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.
- Strong understanding of ETL/ELT frameworks, orchestration, and data integration patterns.
Experience with dbt, Airflow, Spark, Kafka, Terraform, or Databricks.
- Knowledge of analytics and visualization platforms such as Looker, Power BI, or Tableau.
- Googl

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