SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 140,000 - 165,000 / annual
Chainguard is seeking a Senior Analytics Engineer to join its Analytics team and build the data foundation powering company-wide decisions. This is a high-impact senior individual-contributor role focused on owning and evolving data infrastructure, analytical models, and self-service data products while partnering with stakeholders across Finance, Go-to-Market, Product, Engineering, and Customer Success.
You will join a small, growing team with a modern data stack already in place and meaningful opportunity to shape how the organization works. The role emphasizes strong technical judgment, business curiosity, and the ability to translate between technical systems and real business needs. As a senior team member, you will independently lead ambiguous initiatives, help establish durable standards, mentor teammates, and enable stakeholders to make better decisions with trusted data.
Key responsibilities include:
- Own and evolve core analytics platform components: data models, pipelines, metric definitions, semantic layers, and self-service reporting experiences
- Design, build, and maintain scalable, reliable data models and transformations using dbt and modern analytics-engineering practices
- Develop trusted sources of truth supporting company-wide decision-making, balancing immediate needs with long-term scalability
- Partner directly with stakeholders to gather requirements, understand business problems, and translate needs into technical solutions
- Build and improve dashboards, analytical tools, and enablement materials for independent data exploration
- Own the full lifecycle of data products: discovery, design, implementation, testing, documentation, deployment, monitoring, governance, and iteration
- Improve reliability, observability, performance, and data quality of ELT workflows across the modern data stack
- Establish and raise standards for data modeling, testing, documentation, lineage, governance, and metric consistency
- Use AI thoughtfully to improve analytics workflows and enable new forms of analysis
- Independently triage technical and data-quality issues, identify root causes, and drive durable resolutions
- Mentor and support junior analytics teammates through technical guidance, code review, and knowledge sharing
- Help shape the technical roadmap for the growing Analytics function by identifying opportunities for automation and scalable platform investments
Within six months, you will have built strong working knowledge of key business domains, data systems, and stakeholder needs, independently owning significant parts of the technical stack and leading data initiatives from problem definition through adoption. Over time, you will become a trusted technical and strategic partner across the business.
Requirements:
- 5+ years of experience in analytics engineering, data engineering, business intelligence engineering, or closely related field; equivalent depth of experience considered
- Demonstrated success leading complex, cross-functional data initiatives from ambiguous problem definition through delivery, adoption, and measurable business impact
- Advanced SQL skills and deep experience designing, building, and operating analytical data models and pipelines
- Strong hands-on experience with dbt and modern analytics-engineering practices, including testing, version control, documentation, orchestration, observability, and data quality management
- Experience with modern ELT and activation tools such as Fivetran and Hightouch, or comparable technologies
- Experience with cloud data platforms and warehouses; Google Cloud Platform and BigQuery strongly preferred
- Experience with business intelligence and semantic-layer tools such as Omni, Looker, Sigma, Tableau, Mode, Hex, or similar platforms (Omni experience a plus)
- Demonstrated ability to turn complex technical concepts and data into clear, actionable guidance for non-technical stakeholders
- Practical experience using AI in data, analytics, engineering, or business workflows, with sound judgment about where it creates meaningful value
- Strong understanding of dimensional and analytical data modeling, metric governance, lineage, access controls, and trusted-source-of-truth practices
- Ability to balance technical rigor with pragmatism: knowing when to build for scale and when to deliver simpler solutions quickly
- Experience mentoring, reviewing work, and helping other technical teammates grow
- Excellent communication, stakeholder-management, and problem-solving skills
- Comfort operating independently in fast-moving, ambiguous environments with evolving priorities
- Curiosity, initiative, and a builder mindset; startup or high-growth-company experience preferred but not required
- Experience with Python or another quantitative programming language is a plus
About Chainguard
AI / Data / Infrastructure; Legal / Compliance / Risk — software supply-chain security and trusted container images.
