Data Architect
Quantiphi
full-time
Posted on:
Location Type: Remote
Location: United States
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Tech Stack
About the role
- 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
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 !
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturedata engineeringcloud data platform designdata modelinglarge-scale data processingSQLPythonJavaScalaETL/ELT frameworks
Soft Skills
analytical skillsproblem-solving skillscommunication skillscollaborationleadershipmentorship