Agiloft

Staff Data Architecture Engineer

Job Description

Position Overview


As a Staff Data Architecture Engineer, you will work with a fast-moving, ambitious team, building our data-centric, AI-driven Contract Lifecycle Management software solutions. You will collaborate with product domain experts, application software engineers, and Cloud Ops engineers, to architect, build, maintain and optimize data models, databases, and data centric services.



Job Responsibilities
  • Work with cross-functional agile team members throughout the software development lifecycle to conceptualize, ideate, prototype, build, monitor and maintain a high-quality foundational data layer for the platform architecture
  • Build new application data models and optimize existing data models using relational (SQL) and document-oriented (NoSQL) database technology
  • Design and build data lakes and analytic data services to support reporting, analytics and AI services
  • Advise and influence the selection of purpose-built database technology and architecture that fits each problem domain, whether SQL or NoSQL
  • Architect cloud-based data pipelines, data services, and data access patterns to achieve and balance needs for high performance, reliability, and cost efficiency
  • Contribute to solutions for quality assurance, performance testing and load testing of data-centric services
  • Contribute to solutions for creating application test data for scale testing
  • Troubleshoot and resolve complex issues involving data, queries and performance
  • Mentor team members on data architecture topics including query performance optimization
  • Other duties as assigned

    • Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
  • Minimum of 10 years of professional experience as a data architect and data engineer
  • Experience building modern, cloud-native applications using cloud hosted databases
  • Experience building data centric applications and tools in Python
  • Interest in building enterprise software with deep customer empathy, taking pride in contributing to a world class end-to-end user experience
  • Strong problem-solving, collaboration, teamwork and communication skills
  • Eagerness to learn and adapt to new technologies and tools
  • Deep understanding of:
  • SQL and NoSQL databases, query optimization, and database indexing
  • Techniques and tooling for monitoring and improving database performance
  • ETL data pipelines
  • Change management methodologies for incremental enhancement and change of data schemas, including versioning and rollback
  • Version control systems (Git)
  • CI/CD tools such as GitHub Actions or similar
  • Cloud platforms (AWS, Azure, or Google Cloud)
  • Modern software development lifecycle on an agile product team

    • Preferred Qualifications
  • Comfortable working with Infrastructure as Code in AWS
  • Exposure to data science tooling in Python (numpy, scipy, scikit-learn, pandas)

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