Description :
To design, build, and optimize scalable data infrastructure and pipelines that enable efficient data collection, transformation, and analysis across the organization. The Senior Data Engineer will play a key role in driving data architecture decisions, ensuring data quality and availability, and empowering analytics, product, and engineering teams with reliable, well-structured data to support business growth and strategic decision-making.

Responsibilities :

- Develop, and maintain SQL and NoSQL databases, ensuring high performance, scalability, and reliability.

- Collaborate with the API team and Data Science team to build robust data pipelines and

automations.

- Work closely with stakeholders to understand database requirements and provide technical solutions.

- Optimize database queries and performance tuning to enhance overall system efficiency.

- Implement and maintain data security measures, including access controls and encryption.

- Monitor database systems and troubleshoot issues proactively to ensure uninterrupted

service.

- Develop and enforce data quality standards and processes to maintain data integrity.

- Create and maintain documentation for database architecture, processes, and procedures.

- Stay updated with the latest database technologies and best practices to drive continuous

improvement.

- Expertise in SQL queries and stored procedures, with the ability to optimize and fine-tune

complex queries for performance and efficiency.

- Experience with monitoring and visualization tools such as Grafana to monitor database

performance and health.

Requirements :

- 4+ years of experience in data engineering, with a focus on large-scale data systems.

- Proven experience designing data models and access patterns across SQL and NoSQL ecosystems.

- Hands-on experience with technologies like PostgreSQL, DynamoDB, S3, GraphQL, or vector databases.

- Proficient in SQL stored procedures with extensive expertise in MySQL schema design, query optimization, and resolvers, along with hands-on experience in building and maintaining data warehouses.

- Strong programming skills in Python or JavaScript, with the ability to write efficient,

maintainable code.

- Familiarity with distributed systems, data partitioning, and consistency models.

- Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry) and debugging

production bottlenecks.

- Deep understanding of cloud infrastructure (preferably AWS), including networking, IAM, and

cost optimization.

- Prior experience building multi-tenant systems with strict performance and isolation

guarantees.

- Excellent communication and collaboration skills to influence cross-functional technical

decisions.

About Albert Invent :

Albert Invent is a cutting-edge AI-driven software company headquartered in Oakland, California, on a mission to empower scientists and innovators in chemistry and materials science to invent the future faster. Every day, scientists in 30+ countries use Albert to accelerate R&D with AI trained like a chemist, bringing better products to market, faster.

Why Join Albert Invent :

- Joining Albert Invent means becoming part of a mission-driven, fast-growing global team at the intersection of AI, data, and advanced materials science.

- You will collaborate with world-class scientists and technologists to redefine how new materials are discovered, developed, and brought to market.

- The culture is built on curiosity, collaboration, and ownership, with a strong focus on learning and impact.

- You will enjoy the opportunity to work on cutting-edge AI tools that accelerate real-world R&D and solve global challenges from sustainability to advanced manufacturing while growing your careers in a high-energy environment.