AliCloud DataPlatform Architect

Tata Consultancy Services; Sunnyvale (CA); On-site; USD 90,000 - 130,000; Full time

Job summary

A leading consulting firm in California is seeking a data engineer to design and manage scalable data platforms primarily on Alibaba Cloud. The role requires hands-on experience with big data technologies and strong SQL skills, along with proficiency in programming languages like Python, Scala, or Java. You will work closely with cross-functional teams to enable data-driven decision-making through effective data pipelines.

Responsibilities

• Design, build, and maintain scalable data platforms on public cloud.
• Enable data-driven decision-making through robust data pipelines.
• Collaborate with cross-functional teams including Data Science and DevOps.

Skills

Hands-on experience with Alibaba Cloud data services

Strong SQL

Proficiency in Python / Scala / Java

Experience with big data technologies

Experience with distributed systems

Experience with real-time data streaming (Kafka, Flink)

Knowledge of data warehousing concepts

Knowledge of cloud networking and security on Alicloud

Exposure to DevOps practices

Experience with containerization (Docker, Kubernetes)

Familiarity with Linux environments

Job description

• Hands‑on experience with Alibaba Cloud data services
• Design, build, and maintain scalable data platforms on public cloud , mainly Alibaba Cloud (Alicloud)
• Enable data‑driven decision‑making through robust data pipelines and architectures
• Collaborate with cross‑functional teams including Data Science, DevOps, and Business units
• Strong SQL and experience with big data technologies
• Proficiency in Python / Scala / Java for data engineering
• Experience with distributed systems and data processing frameworks
• Knowledge of data warehousing concepts and architecture
• Familiarity with Linux environments (RHEL preferred)
• Experience with real‑time data streaming (Kafka, Flink, etc.)
• Knowledge of cloud networking and security on Alicloud
• Exposure to DevOps practices (Terraform, CI/CD pipelines)
• Experience with containerization (Docker, Kubernetes)