Senior Data Engineer

The Opportunity

• We’re looking for a Senior Data Engineer to join our growing Data Platform team. This role is a hybrid of data engineering and business intelligence, ideal for someone who enjoys solving complex data challenges while also building intuitive and actionable reporting solutions.


• You’ll play a key role in designing and scaling the infrastructure and pipelines that power analytics, dashboards, machine learning, and decision-making across Sonatype. You’ll also be responsible for delivering clear, compelling, and insightful business intelligence through tools like Looker Studio and advanced SQL queries.

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.
• Create and manage business intelligence reports and dashboards using tools like Looker Studio, Power BI, or similar.
• Collaborate with data scientists, analysts, and stakeholders to ensure datasets are reliable, meaningful, and actionable.
• Own and evolve parts of our data platform (e.g., Airflow, dbt, Spark, Redshift, or Snowflake).
• Write complex, high-performance SQL queries to support reporting and analytics needs.
• Implement observability, alerting, and data quality monitoring for critical pipelines.
• Drive best practices in data engineering and business intelligence, including documentation, testing, and CI/CD.
• Contribute to the evolution of our next-generation data lakehouse and BI architecture.

What We’re Looking For

• 5+ years of experience as a Data Engineer or in a hybrid data/reporting role.
• Strong programming skills in Python, Java, or Scala.
• Proficiency with data tools such as Databricks, data modeling techniques (e.g., star schema, dimensional modeling), and data warehousing solutions like Snowflake or Redshift.
• Hands-on experience with modern data platforms and orchestration tools (e.g., Spark, Kafka, Airflow).
• Proficient in SQL with experience in writing and optimizing complex queries for BI and analytics.
• Experience with BI tools such as Looker Studio, Power BI, or Tableau.
• Experience in building and maintaining robust ETL/ELT pipelines in production.
• Understanding of data quality, observability, and governance best practices.
• 5+ years of experience as a Data Engineer or in a hybrid data/reporting role.
• Strong programming skills in Python, Java, or Scala.
• Hands-on experience with modern data platforms and orchestration tools (e.g., Spark, Kafka, Airflow).
• Proficient in SQL with experience in writing and optimizing complex queries for BI and analytics.
• Experience with BI tools such as Looker Studio, Power BI, or Tableau.
• Familiarity with data modeling techniques (star schema, dimensional modeling, etc.).
• Experience in building and maintaining robust ETL/ELT pipelines in production.
• Understanding data quality, observability, and governance best practices.

Bonus Points

• Experience with dbt, Terraform, or Kubernetes.
• Familiarity with real-time data processing or streaming architectures.
• Understanding of data privacy, compliance, and security best practices in analytics and reporting.

Why You’ll Love Working Here

• Data with purpose: Work on problems that directly impact how the world builds secure software.
• Full-spectrum impact: Use both engineering and analytical skills to shape product, strategy, and operations.
• Modern tooling: Leverage the best of open-source and cloud-native technologies.
• Collaborative culture: Join a passionate team that values learning, autonomy, and real-world impact.