Staff Data Engineer

Sonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only enterprise grade SBOM management and the leading open source dependency management platform. This empowers enterprises to create and maintain secure, quality, and innovative software at scale. As founders of Nexus Repository and stewards of Maven Central, the world’s largest repository of Java open-source software, we are software pioneers and our open source expertise is unmatched. We empower innovation with an unparalleled commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development. More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains. We’re looking for a Staff Data Engineer to join our growing Data Platform team. You’ll play a key role in designing and scaling the infrastructure and pipelines that power analytics, machine learning, and business intelligence across Sonatype.You’ll work closely with stakeholders across product, engineering, and business teams to ensure data is reliable, accessible, and actionable. This role is ideal for someone who thrives on solving complex data challenges at scale and enjoys building high-quality, maintainable systems. At Sonatype, We Use data with purpose: you'll get the chance to work on problems that directly impact how the world builds secure software Use modern tooling: you'll get the chance to leverage the best of open-source and cloud-native technologies Have a deep collaborative culture: you'll be joining a passionate team that values learning, autonomy, and impact What You'll Do Design, build, and maintain scalable data pipelines and ETL/ELT processes Architect and optimize data models and storage solutions for analytics and operational use Collaborate with data scientists, analysts, and engineers to deliver trusted, high-quality datasets Own and evolve parts of our data platform using Databricks and Spark Implement observability, alerting, and data quality monitoring for critical pipelines Drive best practices in data engineering, including documentation, testing, and CI/CD As a Staff Engineer you will help drive long-term architectural vision and mentor the team on engineering best practices, while partnering with stakeholders to ensure data solutions support business outcomes. Contribute to the design and evolution of our next-generation data lakehouse architecture What You Bring 8+ years of experience as a Data Engineer or in a similar backend engineering role Bachelor’s degree in Computer Science, Engineering, or a related technical field Databricks Optimization: Tune Spark jobs, optimize join performance, and manage Delta Lake architecture for batch and streaming data. Experience leveraging AI-assisted development tools and AI/ML technologies to improve data engineering workflows, developer productivity, data quality and ops. Strong programming skills in Python, Scala, or Java Hands-on experience with distributed data systems like Spark or Kafka Proficient in writing complex SQL and NoSQL queries and optimizing queries for performance Experience building and maintaining robust ETL/ELT pipelines in production Understanding of data modeling techniques (star schema, dimensional modeling, etc.) It’d Be Great If You Also Had Familiarity with software supply chain, cybersecurity, or large-scale software ecosystem data A track record of improving data platform reliability, scalability, performance, and cost efficiency Familiarity with workflow orchestration tools (Airflow, Dagster, or similar) Hands-on experience with cloud data platforms, particularly AWS Familiarity with modern table formats such as Delta Lake, Apache Iceberg, or Apache Hudi Experience implementing data observability, lineage, governance, and automated data quality frameworks Experience designing real-time or streaming data architectures using data lake technologies Things We Are Proud Of 2026 Gartner® Magic Quadrant™ Leader for Software Supply Chain Security 2026 Celebrating 15 Years of Sonatype Research Labs – Industry-leading software supply chain and open source security research 2026 Founding Member of the Linux Foundation Initiative for Open Source Sustainability 2026 State of the Software Supply Chain® Report – Continuing industry leadership in software supply chain security and AI security research 2025 Visionary in Gartner® Magic Quadrant™ for Application Security Testing! 2025 AI Compliance Solution of the Year - AI Breakthrough Awards 2025 DEVIES Award to our SBOM Manager for a new product for its innovation and impact in developer technology 2024 Industry Leader in Forrester-Wave for Software Composition Analysis (2024 Q4 report) Constellation AST Shortlist: Sonatype has been listed on the Constellation ShortList™ for Application Security Testing for 2024 Data Breakthrough Awards: Sonatype was announced as a 2024 winner in the "Open Source Data Solution of the Year." SD Times: Best in Show Security Fast Company Best Workplaces for Innovators 2024 The Herd Top 100 Private Software Companies 2024 Diversity & Inclusion Working Groups Parental Leave Policy Paid Volunteer Time Off (VTO) At Sonatype, we value diversity and inclusivity. We offer perks such as parental leave, diversity and inclusion working groups, and flexible working practices to allow our employees to show up as their whole selves. We are an equal-opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please do not hesitate to let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Design and maintain scalable data pipelines and lakehouse architectures to power analytics and machine learning. Partner with stakeholders to drive long-term architectural vision and mentor the team on engineering best practices.

Requires over 8 years of experience in data or backend engineering and a degree in Computer Science or a related field. Must be proficient in Spark, Databricks optimization, and programming languages like Python, Scala, or Java.

• Parental Leave Policy • Diversity & Inclusion Working Groups • Paid Volunteer Time Off (VTO) • Flexible Working Practices

• SQLSouhaitée
• CI/CDSouhaitée
• Amazon Web ServicesSouhaitée
• JavaSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Databricks
• Apache Spark
• Python
• Scala
• Java
• SQL
• NoSQL
• ETL/ELT
• Data Modeling
• Kafka
• Delta Lake
• AWS
• CI/CD
• Data Observability
• Lakehouse Architecture
• AI/ML Technologies

• Data & Analytics
• Software
• Technology
• Engineering
• Security & Safety

Formation minimale

Baccalauréat

Expérience minimale

10+ ans

Postuler avant le

17 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Toronto, Ontario, Canada

Niveau d’expérience

Associate

Mode de candidature

La candidature directe est offerte