Quantiphi

Pioneering AI-first solutions, solving complex business challenges through expertise, cloud, data engineering, and AI.

Data Architect

Data EngineerData EngineerFull TimeRemoteTeam 1,001-5,000Since 2013H1B SponsorCompany SiteLinkedIn

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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