Aisera is a leading provider of AI Copilot solutions, utilizing AiseraGPT and Generative AI to facilitate business transformation and drive revenue growth through a self-service model. Aisera’s AI Copilot uses industry and domain-specific LLMs to deliver human-like experiencs and auto- remediate requests through AI workflows. With 400+ integrations and 1200+ prebuilt workflows, customers achieve 75%+ automation and 90% cost reduction. Aisera has received numerous recognitions, including Leader in the 2024 Gartner Magic Quadrant™ for Artificial Intelligence Applications in ITSM, FastCompany Best Workplaces for Innovators, Inc 5000 Award for Fastest Growth, Forbes AI50, EY Entrepreneur of the Year 2023, CNBC Upstart 100 Top Startup, Gartner Cool Vendor, Red Herring Top 100 Global Innovator, CIO Innovation Startup Award, CIO Review Top ITSM Solution, and Silicon Review 50 Most Admired Companies.
The Cloud Data Architect will be responsible for designing, overseeing and optimizing the implementation of the company’s cloud-based data solutions. They will ensure that the company’s database infrastructure is scalable, efficient, and secure, laying the foundation for high-performance SaaS applications. The ideal candidate will have a strong background in cloud infrastructure, database technologies, and data governance, with experience in architecting solutions that support large-scale, distributed systems.
Key Responsibilities:
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Architect Database Solutions: Design and implement a scalable and resilient cloud database infrastructure using cloud platforms like AWS, Google Cloud, or Azure.
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Data Flow Design: Develop and maintain robust data flow architectures, including ETL pipelines, data lakes, and data warehouses, to ensure data is accessible and performant.
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Scalability and Performance: Ensure that database systems are designed to scale with business growth and handle increasing amounts of data efficiently.
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High Availability: Design for redundancy, failover, and disaster recovery, ensuring high availability of all database systems.
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Security & Compliance: Ensure all database designs follow industry best practices for security, data privacy, and compliance, particularly in cloud environments, work with Security team.
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Collaboration with Engineering: Work closely with software engineers and DevOps teams to ensure that the database architecture integrates seamlessly into the larger SaaS application ecosystem.
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Documentation and Standards: Develop documentation, best practices, and standards for the company’s cloud-based data architecture.
Required Skills and Qualifications:
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Experience with Cloud Platforms: Hands-on experience with cloud database services such as Amazon RDS, DynamoDB, Google Cloud Spanner, BigQuery, or Azure SQL.
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Database Expertise: Deep understanding of both relational (e.g., PostgreSQL, MySQL) and NoSQL databases. Experience with search engines and vector databases (Elastic, Open Search, Lucene, weaviate, etc) is a big plus.
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Architecture and Design: Experience in designing scalable, high-availability, and high-performance database systems in cloud environments.
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Data Governance: Knowledge of data governance, security practices, and compliance (e.g., GDPR).
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Collaboration Skills: Ability to work cross-functionally with engineering, DevOps, security, and business teams.
