Data & Analytics Engineer at Prophix building a data platform on Snowflake. Collaborating with finance teams and engineering data architectures for analytics and AI capabilities.
About the role
- Senior Backend Engineer guiding the design and development of a unified data collection platform for GitLab. Building and maintaining systems to provide insights into customer usage patterns across GitLab's services.
Responsibilities
- Guide the design, implementation, and evolution of a unified data collection platform using Golang, Kubernetes, ClickHouse, and NATS, with success measured by reliability, performance, and adoption across GitLab teams.
- Improve the emission, transit, and quality of instrumentation data across the system, with success measured by data quality, data integrity, and usage billing accuracy.
- Provide technical guidance for usage billing and instrumentation systems during working hours, with success measured by timely incident handling, effective root cause analysis, and reliable service restoration.
- Work across the organization with research and development teams and the enterprise data organization to deliver common solutions, with success measured by adoption across multiple stakeholders.
- Make technical choices that balance ease of use for product teams with reliability and correctness for data consumers, with success measured by platform usability and reliable downstream data.
- Mentor other engineers through code reviews, design discussions, and clear technical documentation, with success measured by stronger code quality, faster technical alignment, and more maintainable systems.
Requirements
- Significant experience working with platform or infrastructure systems in production environments.
- Strong proficiency in the Go programming language, with experience building and maintaining production services.
- Strong backend development experience, with the ability to design and deliver scalable, reliable systems serving internal and external customers.
- Experience guiding technical design and making tradeoffs across system reliability, performance at scale, data quality, and observability.
- Experience working across team boundaries with product teams, data consumers, and other internal stakeholders.
- Familiarity with cloud native technologies and open source development practices.
- A track record of mentoring other engineers and helping teams make clear, well-documented technical choices.
Benefits
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Analytics Engineer for Narvar focused on building data infrastructure and enabling internal analytics. Collaborating with stakeholders to deliver metrics, models, and self - serve analytics solutions.
Analytics Engineer developing data environments using modern technologies for clients at Cuesta Partners. Collaborating on solutions and supporting data - driven business decisions.
Lead Analytics Engineer leading technical initiatives in a financial technology company focused on AI - ready data insights. Collaborating across teams to enhance the data ecosystem while mentoring engineers.
Senior Analytics Engineer at Forward Financing designing and optimizing data architecture and models. Collaborating with cross - functional teams to deliver AI - ready data insights.
Manager of Analytics Engineering at fintech company optimizing data infrastructure for trusted AI insights. Overseeing a team to build centralized data foundation and support various business functions.
Support Engineer responsible for operational support of data analytics and cloud technologies at Sun Life Financial. Collaborate with project teams to enhance and maintain data processes.
Data & Analytics Intern/Co - op at Kinaxis modernizing data ecosystems and developing data solutions. Gain hands - on experience in data integration, engineering, modeling, and business intelligence.
Senior Analytics Engineer architecting, building, and operating secure data pipelines in AWS cloud. Leading compliance with data governance standards across analytics integrations.
Data Analytics Engineer preparing enterprise data to be AI - ready at Canadian Bank Note Company. Designing semantic layers and enabling advanced analytics, self - service BI, and AI - powered decision - making.