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
Job Description
To lead and deliver end-to-end analytics implementations by providing deep technical expertise across SQL, integrations, automation, and monitoring, ensuring secure, scalable, and high-quality solutions that drive measurable customer outcomes
Responsibilities:
- Lead medium–high complexity analytics implementations and integrations end-to-end, serving as technical/solution lead for assigned engagements.
- Handle ambiguous or incomplete requirements by driving discovery, clarifying needs, and proposing practical solution options.
- Design and optimize complex SQL transformations, stored procedures, functions, and data models for performance and reliability.
- Architect and enforce secure data access using row-level security, RBAC, and access-control best practices across environments.
- Design dashboards, monitoring, alerting, and reporting strategy using Grafana (or similar), ensuring operational visibility and data quality.
- Build/extend integration patterns using REST APIs, including robust validation, error handling, observability, and supportability.
- Develop lightweight tooling and automation in Python or JavaScript to accelerate delivery, reduce manual work, and improve consistency.
- Troubleshoot and resolve high-impact issues across SQL/API/dashboard layers; perform root-cause analysis and implement preventative fixes.
- Define, improve, and document reusable implementation patterns, runbooks, and technical standards within the pillar.
- Mentor and guide IC1–IC3 engineers across projects; provide technical reviews, unblock teams, and escalate risks appropriately.
Requirements:
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
- Chemical Engineering or other relevant science degrees are an added advantage. Time spent in the lab and understanding of lab workflows is a plus.
- 6+ years of experience in analytics implementation, data/BI engineering, integration engineering, or similar customer-facing technical roles.
- Expert-level SQL skills (complex query design, tuning, indexing strategy, query planning, and data modeling).
- Strong hands-on experience with stored procedures, UDFs/functions, and scalable transformation patterns.
- Proven experience implementing row-level security, RBAC, and secure data delivery in enterprise contexts.
- Strong experience with Grafana or equivalent (dashboards, alerting, monitoring/reporting).
- Deep experience with REST API integrations (auth patterns, pagination, retries/error handling, observability).
- Proficiency with Python or JavaScript for scripting, automation, and internal tooling; automation mindset strongly preferred.
- Cloud exposure required; AWS strongly preferred (IAM concepts and operational monitoring familiarity).
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 environmentFor more details, please feel free to refer to www.albertinvent.com
