Senior Analytics Engineer I

About the role

Rocket Lab is an end-to-end space company delivering responsive launch services, complete spacecraft design and manufacturing, payloads, satellite components, and more – all with the goal of opening access to space. The rockets and satellites we build and launch enable some of the most ambitious and vital space missions globally, supporting scientific exploration, Earth observation and missions to combat climate change, national security, and exciting new technology demonstrations.

Responsibilities

• Data Engineering & Architecture
• Design and build scalable data architectures using advanced SQL, dbt frameworks, and multiple ETL/ELT tools (Azure Data Factory, SSIS, Databricks or modern open-source tools)
• Implement metadata-driven pipelines at scale and lead data modeling efforts across multiple subject areas
• Optimize performance at enterprise scale using cloud/on-prem advanced features, Python, and streaming/real-time data patterns
• Business Intelligence & Analytics
• Lead analytical initiatives and design comprehensive KPI frameworks that influence business strategy and establish RBAC/RLS security
• Design semantic layers and enterprise data models using TDML, Power BI (DAX, M Query), Tableau, and Grafana
• Data Governance & Quality
• Design and implement data governance frameworks including metadata management, privacy policies, and retention standards
• Lead incident response for data quality issues, conduct root cause analysis, and deliver remediation plans
• Conduct peer reviews of SQL, dbt, Python, DAX, and M Query code, ensuring adherence to best practices
• Collaborations
• Mentor junior engineers on engineering best practices, performance optimization, and visualization design principles
• Parenth with Director-level stakeholders and business leaders to translate requirements into technical solutions
• Participate in sprint planning, technical design reviews, architecture discussions, and roadmap planning

Qualifications

• 5+ years of experience and a bachelor's degree or equivalent experience with a high school diploma or GED (9+ total years)
• Technical Expertise in the following:
• Demonstrated expertise in analytics engineering or data platform development
• Expert-level data modeling and architecture design across multiple subject areas
• Proficiency with ETL/ELT tools: Azure Data Factory, SSIS, Databricks, and dbt or modern open-source tools
• Hands-on Kubernetes experience (deployment, cluster management, best practices)
• Advanced Power BI development (DAX, M Query, TDML, semantic layers)
• Cloud platform experience (Azure or AWS)
• Proven technical leadership with ability to establish standards and mentor engineers
• Agile/Scrum methodology experience

What to Expect

We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way.