As the most trusted global leader in data-first contract lifecycle management (CLM) software, Agiloft helps organizations manage the end-to-end process of proposing, negotiating, signing, and leveraging contracts using our flexible Data-first Agreement Platform (DAP). With contract data as the foundation, customers quickly and collaboratively reach agreement and leverage contract visibility to thrive with competitive advantage. Employing powerful, pragmatic artificial intelligence as a legal force multiplier, and robust integration capabilities as a data liberator, organizations around the world trust Agiloft’s certified implementers to deliver connected, intelligent, and autonomous solutions across the entire contract lifecycle.
Top analysts like Gartner, Forrester, and IDC agree, all showing Agiloft as a leader in the CLM space. Our no code platform is easily managed and administered by business users, which is why Agiloft is the contract you keep: nearly a full 100% of new customers are satisfied with their initial implementations, and some 97% of customers renew every year. Ours is a growing, vibrant, successful company that is at the forefront of a market that is becoming a must-have for all organizations.
We believe that the way to build the strongest, most vibrant place to work is to bring in individuals from all walks of life, and to support them in bringing their authentic selves to their day, every day. Our working philosophy is that “EX = CX”: when employee experience is excellent, so is customer experience. We support multiple Employee Resource Groups (ERGs), and offer a working environment that supports healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.
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 ResponsibilitiesWork 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 architectureBuild new application data models and optimize existing data models using relational (SQL) and document-oriented (NoSQL) database technologyDesign and build data lakes and analytic data services to support reporting, analytics and AI servicesAdvise and influence the selection of purpose-built database technology and architecture that fits each problem domain, whether SQL or NoSQLArchitect cloud-based data pipelines, data services, and data access patterns to achieve and balance needs for high performance, reliability, and cost efficiencyContribute to solutions for quality assurance, performance testing and load testing of data-centric servicesContribute to solutions for creating application test data for scale testingTroubleshoot and resolve complex issues involving data, queries and performanceMentor team members on data architecture topics including query performance optimizationOther duties as assignedRequired QualificationsBachelor'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 engineerExperience building modern, cloud-native applications using cloud hosted databasesExperience building data centric applications and tools in PythonInterest in building enterprise software with deep customer empathy, taking pride in contributing to a world class end-to-end user experienceStrong problem-solving, collaboration, teamwork and communication skills Eagerness to learn and adapt to new technologies and toolsDeep understanding of:SQL and NoSQL databases, query optimization, and database indexingTechniques and tooling for monitoring and improving database performanceETL data pipelinesChange management methodologies for incremental enhancement and change of data schemas, including versioning and rollbackVersion control systems (Git)CI/CD tools such as GitHub Actions or similarCloud platforms (AWS, Azure, or Google Cloud)Modern software development lifecycle on an agile product teamPreferred QualificationsComfortable working with Infrastructure as Code in AWSExposure to data science tooling in Python (numpy, scipy, scikit-learn, pandas)Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All employment decisions at Agiloft are based on business needs, job requirements, and individual qualifications without regard to race, color, religion or belief, national or social ethnic origin, sex, age, sexual orientation, gender identity and/or expression, parental status, marital status, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. If you have a need that requires accommodation during the recruiting process, please let us know by contacting Director, Talent Acquisition, Brad Toothman at brad.toothman@agiloft.com.
Applicants from underrepresented groups such as minorities, veterans, or individuals with disabilities encouraged to apply.
Applications will be reviewed as submitted. There will be no application deadline for this opportunity.