About NTT DATA
We are a leading global IT services provider with over 140,000 professionals across more than 50 countries worldwide. Our team is driven by innovation and technology to deliver tailored solutions for our clients, accelerating their digital transformation.
We value our people as the driving force behind our business. We prioritize care, listening, employee well-being, and skill development in our Smile Working Company.
Our workspaces foster community and constructive exchange of experiences, guiding us toward a shared future with passion and dedication.
Data Architect Role
A Data Architect at NTT DATA enables data-driven decision-making by collecting, transforming, and publishing data. The ideal candidate should be able to design, build, operationalize, secure, and monitor data processing systems with a focus on security, scalability, reliability, flexibility, and portability.
The primary goal of a Data Architect is to turn raw data into valuable information, creating insights and business value.
Main Responsibilities
* Bulk and real-time data pipelines design and implementation using GCP cloud platform data processing frameworks
* Use an analytical approach to drive a deep understanding of changing business needs
* Collaborate with teams to evaluate business priorities and needs, communicate with key stakeholders, and address data management concerns
* Participate in project planning, identifying milestones, deliverables, and resource requirements
Requirements
* Bachelor's degree in Computer Science or relevant field
* At least 5-10 years of experience in data engineering
* Proficiency in programming languages like Scala, Java, and Python
* Advanced SQL skills, preferably BigQuery
* Knowledge of Google Managed Services: Cloud Storage, BigQuery, Dataflow, Dataproc, and Data Fusion
* Experience with workflow management and strong knowledge of GCP architecture
* Expertise in building modern, cloud-native data pipelines and operations with an ELT philosophy
* Familiarity with data migration, data warehouse, and developer tools
* Excellent communication skills and empathy for end-users and internal customers
Nice-to-Have Qualifications
* Google Cloud Data Engineer Certification
* Experience with Big Data ecosystem (Hadoop, Hive, HDFS, HBase)
* Agile methodologies and DevOps principles