Solutions Architect - Data & AI (Google Cloud Platform

Kyndryl's Adai
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

API
Artificial Intelligence
Data analysis
Google BigQuery
Cloud Computing
Cloud Storage
Data Architecture
Data Integration
ETL
Data Warehousing
Distributed Systems
Data Flow Control
Identity and Access Management
Performance Tuning
Cloudera
Google Cloud Platform
Data Lake
Data Analytics
Data Management

Job description

As a Senior, hands-on Solutions Architect within Kyndryl's ADAI practice, you will design and lead end-to-end data and AI solutions on Google Cloud. You'll translate business needs into scalable architectures, guide delivery teams, and validate designs through POCs. You'll work closely with cross-functional engineers to tackle complex data, analytics, and governance challenges. This role offers the chance to shape enterprise-scale data platforms in a collaborative, growth-focused environment on GCP., * Lead end-to-end data and AI solution architectures on Google Cloud Platform

  • Define scalable architectures for ingestion, storage, processing, analytics, governance, and AI enablement
  • Act as a hands-on architect, supporting engineering teams during implementation
  • Translate business and technical requirements into scalable designs and roadmaps
  • Participate in proofs-of-concept, architecture validation, and technical design sessions
  • Support troubleshooting, performance optimization, and complex delivery challenges

Requirements

  • 7+ years as a Solutions Architect, Data Architect, Cloud Architect, or Lead Engineer
  • Experience delivering enterprise-scale data and analytics platforms
  • Strong GCP expertise (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Composer, Vertex AI, IAM, networking)
  • Experience with data integration, ETL/ELT, APIs, streaming architectures, and distributed systems
  • Knowledge of modern data architectures (data lakes, data warehouses, lakehouse, real-time analytics)

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