Quantiphi
Pioneering AI-first solutions, solving complex business challenges through expertise, cloud, data engineering, and AI.
Data Architect
Location
United States
Posted
33 days ago
Salary
Not specified
Bachelor Degree7 yrs expEnglishAWSAzureCloudDistributed SystemsDockerETLGoogle Cloud PlatformJavaKubernetesMongo DBMy SQLNo SQLPostgresPythonScalaSQL
Job Description
• Design and architect scalable, secure, and high-performance data platforms and architectures on Alibaba Cloud
• Lead the development of modern data ecosystems including data lakes, warehouses, streaming pipelines, and real-time analytics solutions
• Architect and implement solutions leveraging Alibaba Cloud services such as MaxCompute, DataWorks, OSS, ECS, RDS, PolarDB, AnalyticDB, ACK (Kubernetes), Function Compute, and SLB
• Define data models, governance frameworks, security standards, and best practices for enterprise-grade data environments
• Build and optimize ETL/ELT pipelines and batch/streaming ingestion workflows
• Collaborate with cross-functional stakeholders to translate business requirements into scalable, reliable, and compliant data solutions
• Establish Infrastructure-as-Code and CI/CD practices for automated deployment and management of data infrastructure
• Optimize platform performance, reliability, and cost efficiency through monitoring, tuning, and continuous improvement
• Lead cloud modernization and migration initiatives from AWS, Azure, or GCP to Alibaba Cloud data platforms
• Provide technical leadership through architecture reviews, standards development, documentation, and mentorship
• Troubleshoot complex production issues and ensure high availability of mission-critical data systems
Job Requirements
- 7+ years of experience in data architecture, data engineering, or cloud data platform design
- Hands-on experience architecting and deploying data solutions within Alibaba Cloud (AliCloud) environments
- Strong expertise in data modeling, distributed systems, and large-scale data processing
- Experience designing data lakes, data warehouses, and analytics platforms
- Proficiency in SQL and at least one programming language (Python, Java, Scala, or similar)
- Experience with ETL/ELT frameworks and orchestration tools
- Strong knowledge of relational and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.)
- Experience with containerization and orchestration (Docker, Kubernetes/ACK)
- Familiarity with DevOps practices, CI/CD, and automated deployments
- Strong analytical and problem-solving skills
- Excellent communication skills and ability to work across technical and business teams.
Benefits
- Make an impact at one of the world’s fastest-growing AI-first digital engineering companies.
- Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
- Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
- Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
- If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us !
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