Senior Data Engineer

About the Position

As a Senior Data Engineer at Qumulo in Cork, you will be a foundational member of the team building the data platform that powers how the company sees itself and acts on what it sees. You will lead the design, build, and operation of our data warehouse, pipelines, and analytical surfaces to turn data from across the business into trusted, AI ready insight for Sales, Customer Success, Finance, and the executive team. This is a strategic technical role: the architecture you put in place will be the foundation for an AI native, data driven business, not just a refresh of yesterday's reporting.

Responsibilities

• Design, build, and operate the data architecture that captures and stores data from across the business - Salesforce, NetSuite, M3ter, cloud hyperscalers, and Qumulo's internal customer monitoring systems.
• Build the data warehouse foundations (using tools like DBT with Redshift or Snowflake) that power analytical surfaces today and AI use cases tomorrow.
• Engineer pipelines that route data appropriately and apply cost optimization strategies like storage tiering, Redshift Spectrum / Lake Formation, and compute lifecycle management.
• Design schemas that support both RAG architectures and traditional predictive modeling, so AI/ML tools can leverage Qumulo's data as the company evolves toward AI native operations.
• Build dashboards in Tableau (or equivalent) that the executive team, Sales leadership, Customer Success, and Finance rely on every day.
• Direct the work of UI and dashboard contractors: define technical requirements, run code and design reviews, and keep vendor deliverables aligned with internal objectives.
• Partner directly with Sales Operations, Business Systems, Finance, Customer Success, and Engineering to design data flows that span systems and surface insight where it matters.
• Own the reliability and accuracy of the data products you ship. Participate in code reviews, engage with CI/CD pipelines, and help shape architecture decisions that scale with the business.

Qualifications

• 4+ years of data engineering or analytics engineering experience
• Advanced SQL, ETL, DBT, data architecture, and workflow management expertise, along with strong Python skills for data transformation, orchestration, and tooling.
• Experience modeling SaaS business data (Salesforce Objects, NetSuite ERP, or equivalent) and the nuances of API based ingestion, along with cost optimization strategies including storage tiering, Redshift Spectrum / Lake Formation, and compute lifecycle management.
• A deep background in cloud data warehouses (Redshift, Snowflake, or equivalent), object storage (S3 or equivalent), serverless compute (Lambda, Azure Functions, or equivalent), and modern BI platforms like Tableau.
• Experience designing data structures for AI/ML use, including RAG friendly schemas and predictive modeling support, and using modern AI developer tools to ship faster without compromising clarity or correctness.
• Excellent written and verbal communication skills, with a track record of working alongside Sales Operations, Business Systems, Finance, and Engineering in agile, cross functional environments.
• A Bachelor's or Master's in Computer Science, Data Science, Information Systems, or a related field. Cloud certifications or equivalent experience (AWS, Azure, or GCP) would be highly preferred.

Further Details

• Competitive salary and benefits package, including equity, pension, and healthcare
• Flexible working arrangements, with 3 days onsite and 2 remote
• Reimbursement for home phone and internet

We value continuous learning and adaptability in this rapidly evolving field. Individual pay depends on various factors, such as role level, relevant experience and skills, and location. Pay ranges are reviewed and typically updated each year. Offers are made within the pay range applicable at the time.

Qumulo is committed to complying with all applicable federal, state, and local laws concerning background checks. The background check process may include a review of criminal history, credit history, employment verification, education verification, and other relevant information and is conducted after a conditional offer of employment has been made, where required.

Qumulo is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin, or any other characteristic protected under federal, state, or applicable local law. For more information on Qumulo's Applicant Privacy Policy, please visit: