Cloud Data Architect at Aisera

Athens, Greece

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

Experience with Cloud Platforms: Hands-on experience with cloud database services such as Amazon RDS, DynamoDB, Google Cloud Spanner, BigQuery, or Azure SQL
Database Expertise: Deep understanding of both relational (e.g., PostgreSQL, MySQL) and NoSQL databases. Experience with search engines and vector databases (Elastic, OpenSearch)
Strong understanding of data governance principles and best practices
Experience in architecting solutions that support large-scale, distributed systems
Strong background in cloud infrastructure, database technologies, and data governance

Responsibilities

Architect Database Solutions: Design and implement a scalable and resilient cloud database infrastructure using cloud platforms like AWS, Google Cloud, or Azure
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
Scalability and Performance: Ensure that database systems are designed to scale with business growth and handle increasing amounts of data efficiently
High Availability: Design for redundancy, failover, and disaster recovery, ensuring high availability of all database systems
Security & Compliance: Ensure all database designs follow industry best practices for security, data privacy, and compliance, particularly in cloud environments, work with Security team
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
Documentation and Standards: Develop documentation, best practices, and standards for the company’s cloud-based data architecture
Designing, overseeing and optimizing the implementation of the company’s cloud-based data solutions
Ensuring that the company’s database infrastructure is scalable, efficient, and secure, laying the foundation for high-performance SaaS applications

Skills

Key technologies and capabilities for this role

Amazon RDSDynamoDBGoogle Cloud SpannerBigQueryAzure SQLPostgreSQLMySQLElasticOpenSearch

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What is the salary for the Cloud Data Architect role?

This information is not specified in the job description.

What skills are required for this Cloud Data Architect position?

Required skills include hands-on experience with cloud database services like Amazon RDS, DynamoDB, Google Cloud Spanner, BigQuery, or Azure SQL; deep understanding of relational (PostgreSQL, MySQL) and NoSQL databases, search engines, and vector databases (Elastic, OpenSearch); strong data governance knowledge; and experience architecting large-scale, distributed systems.

What does Aisera's company culture or work environment look like?

This information is not specified in the job description.

What makes a strong candidate for the Cloud Data Architect role?

A strong candidate has a background in cloud infrastructure, database technologies, and data governance, with hands-on experience in cloud platforms, relational and NoSQL databases, and architecting scalable, distributed systems.

Aisera

Develops AI chatbots for IT operations

About Aisera

Aisera develops chatbots and process-centric AI solutions specifically for IT operations. Their chatbots are designed to engage in human-like conversations, allowing clients to access self-service options that help reduce costs associated with service desks. Aisera primarily serves organizations that seek customizable virtual agents to modernize their IT operations and minimize unplanned outages. Their products can be quickly deployed, giving them an advantage in the fast-growing AI and machine learning market. Aisera's revenue comes from selling these AI solutions, which not only help businesses cut costs by deflecting support tickets and reducing wait times but also improve customer experience through personalized interactions. Additionally, Aisera allows clients to create their own bot experiences, enabling them to operationalize their generative AI applications or deploy chatbots trained on their specific data in a matter of weeks.

Palo Alto, CaliforniaHeadquarters

2017Year Founded

$212.5MTotal Funding

SERIES_DCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees

Benefits

Health Insurance

Wellness Program

Flexible Work Hours

Remote Work Options

Professional Development Budget

Risks

Anthropic's AI agents pose a competitive threat to Aisera's market share.

Rapid advancements by competitors could lead to pricing pressures for Aisera.

Meta's investment in AI tools may divert clients from Aisera's solutions.

Differentiation

Aisera offers customizable domain-specific LLMs across various industries, enhancing accuracy and resolution rates.

The AIX platform allows enterprises to build or buy AI solutions, providing flexibility and speed.

Aisera's AI solutions deliver human-like interactions, improving user productivity and reducing support costs.

Upsides

Aisera's recognition in Gartner's Magic Quadrant boosts its credibility in IT service management.

The decline in AI pricing makes Aisera's solutions more accessible to businesses.

Growing adoption of AI agents enhances Aisera's potential in automating routine tasks.

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