Sr. Data Engineer(NCS/Job/ 1876)

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

 

Minimum Qualifications - 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