Remote Staff Data Architecture Engineer

Description:

• As a Staff Data Architecture Engineer, you will work with a fast-moving, ambitious team to build 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.
• Responsibilities include working 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.
• You will build new application data models and optimize existing data models using relational (SQL) and document-oriented (NoSQL) database technology.
• The role involves designing and building data lakes and analytic data services to support reporting, analytics, and AI services.
• You will advise and influence the selection of purpose-built database technology and architecture that fits each problem domain, whether SQL or NoSQL.
• Architecting cloud-based data pipelines, data services, and data access patterns to achieve and balance needs for high performance, reliability, and cost efficiency is also part of the job.
• You will contribute to solutions for quality assurance, performance testing, and load testing of data-centric services.
• The role includes troubleshooting and resolving complex issues involving data, queries, and performance.
• You will mentor team members on data architecture topics, including query performance optimization.
• Other duties may be assigned as needed.

Requirements:

• A Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience) is required.
• A minimum of 10 years of professional experience as a data architect and data engineer is necessary.
• Experience in building modern, cloud-native applications using cloud-hosted databases is essential.
• Proficiency in building data-centric applications and tools in Python is required.
• A strong interest in building enterprise software with deep customer empathy and a commitment to contributing to a world-class end-to-end user experience is expected.
• Strong problem-solving, collaboration, teamwork, and communication skills are necessary.
• An eagerness to learn and adapt to new technologies and tools is important.
• A deep understanding of SQL and NoSQL databases, query optimization, and database indexing is required.
• Familiarity with techniques and tooling for monitoring and improving database performance is necessary.
• Experience with ETL data pipelines and change management methodologies for incremental enhancement and change of data schemas, including versioning and rollback, is required.
• Knowledge of version control systems (Git) and CI/CD tools such as GitHub Actions or similar is essential.
• Experience with cloud platforms (AWS, Azure, or Google Cloud) is required.
• Familiarity with the modern software development lifecycle on an agile product team is necessary.

Benefits:

• Agiloft offers a working environment that supports a healthy work/life balance, including floating holidays and a quarterly, no-questions-asked wellness day.
• The company promotes a diverse and inclusive workplace, encouraging individuals from all walks of life to bring their authentic selves to work.
• Employees are supported through multiple Employee Resource Groups (ERGs).
• The company is committed to an environment of acceptance, ensuring that all employment decisions are based on business needs, job requirements, and individual qualifications without regard to personal characteristics.
• Applicants from underrepresented groups such as minorities, veterans, or individuals with disabilities are encouraged to apply.