---
title: 'Cloud Data Analytics Engineer | Luma at Dotmatics'
canonical: 'https://feeny.ai/job/cloud-data-analytics-engineer-luma-dotmatics-canada-dcrt9rgzkdyz'
type: 'job'
last_seen: '2026-09-10'
---

# Cloud Data Analytics Engineer | Luma at Dotmatics

- **Company:** Dotmatics
- **Location:** Canada
- **Compensation:** $71k–$119k
- **Work type:** remote
- **Posted:** 2026-06-09
- **Last confirmed live:** 2026-09-10
- **Apply:** https://www.dotmatics.com/jobs/apply?gh_jid=4702208005

## Job description

Our Why At Dotmatics

At Dotmatics, a Siemens company,  we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, SoftGenetics and Virscidian.

We have a vision for a new Lab of the Future that will change the future of scientific research.

We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making.

Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now.

Shaping the Future of Science At Dotmatics

Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live.

You’ll join a collaborative, global team pushing the boundaries of scientific innovation.  Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D platform. We need your help to keep growing and pioneering the future.

We are Science Driven. We are Customer Centric. We are Better Together.

What do we need

Dotmatics is seeking a Cloud Data Analytics Engineer to support the Luma team, you will own the operational health, architecture intelligence, and cost optimization of our cloud environments, AI usage customer data and more. In this role you will develop a deep understanding of our infrastructure, connect architectural decisions to business outcomes, and give the engineering leadership, Senior leadership and Corporate Data teams the visibility they need to make smart, cost-conscious decisions at scale.

In this role you will get to:

Cloud Data Architecture and Cost Intelligence

- Develop and maintain a comprehensive technical understanding of the organization’s cloud architecture across all major infrastructure components.
- Map the relationship between architectural decisions and cost drivers, producing clear models that connect system behaviour to spend.
- Identify cost anomalies, inefficiencies, and optimization opportunities across compute, storage, networking, and managed services.
- Build and maintain dashboards and reporting that give engineering and leadership real-time visibility into cloud cost trends.
- Develop high-impact reporting and analytics providing visibility into engineering and customer operations, lead efforts to scale reporting through automation
- Partner with internal stakeholders (Sales, Product, Marketing, Finance, etc.) to increase the understanding, visibility and use of business metrics, encourage self-service analytics
- Perform ad hoc data exploration and analysis to answer immediate business needs.
- Identify opportunities to improve data quality, performance, and observability
- Help develop standards for analytics engineering best practices

Technical Operations

- Help define and enforce cloud governance policies including tagging standards, resource lifecycle management, and rightsizing practices.
- Partner with engineering teams to review architectural decisions for cost impact before and after deployment.
- Maintain runbooks and documentation for operational data management processes.

Stakeholder Collaboration

- Serve as the primary point of contact for cloud cost and operations questions from engineering, finance, and executive stakeholders.
- Translate complex technical findings into clear, business-oriented recommendations for non-technical audiences.
- Collaborate with engineering leadership on roadmap decisions that have infrastructure and cost implications.
- Work cross-functionally on handoffs and alignment across shared operational responsibilities.

We are looking for people who have 5+ years of experience in data analysis with a deep understanding of cloud operations, cloud architecture, or a related technical infrastructure role, with demonstrated experience analysing and optimising cloud spend at enterprise scale.

The key skills we are looking for are:

- Advanced SQL and/or Python, particularly data science and report generation frameworks.
- Hands-on experience with AWS or Databricks, with a strong preference for multi-cloud expertise.
- Strong understanding of cloud-native architectures including containerisation, serverless, managed databases, and distributed systems.
- Experience with observability and monitoring platforms such as Datadog, CloudWatch, or equivalent.
- Ability to produce clear written and visual communication of technical findings for executive audiences.
- Familiarity with version control systems (e.g., Git) and CI/CD workflows for data engineering projects
- BI tools (e.g., Looker, Mode, Tableau)
- Ability to work directly with business teams to align on KPIs, define requirements, and deliver impactful insights
- Comfortable writing and maintaining data dictionaries, dbt Docs, or internal wikis
- Ability to design and build BI assets that are explainable and sustainable whether they are excel spreadsheets, BI dashboards or powerpoint presentation.

You may also have:

- Experience in life sciences, pharma, or regulated industry cloud environments including GxP or 21 CFR Part 11 contexts.
- Familiarity with FinOps frameworks and cloud cost management tooling such as CloudHealth, Apptio, or native cloud cost tools.
- Prior experience in a high-growth SaaS or enterprise software company.
- Relevant certifications such as AWS Solutions Architect, GCP Professional Cloud Architect, or FinOps Certified Practitioner.

Total Rewards

Dotmatics utilises a national market-based approach to base pay benchmarking and pay band development. The candidate's final starting pay is based on job-related skills, experience, job specific qualifications & location. In addition to base salary, Dotmatics has implemented a total rewards strategy, which is the combination of compensation, benefits and recognition.

Certain positions are also eligible for variable pay; your recruiter will discuss the full compensation package details.

Other Total Rewards Offered

- Private Healthcare
- Company Pension Plan
- Wellness Benefits (Mental Health Apps and Fitness Perks)

This is the range that we, in good faith, believe is the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range. This range may be modified in the future.

Base Pay Range $71,000—$119,000 CAD

Research shows us the[confidence gap](https://www.theatlantic.com/magazine/archive/2014/05/the-confidence-gap/359815/) and imposter syndrome can get in the way of meeting outstanding candidates, so please don’t hesitate to apply — we’d love to hear from you.

By submitting your application, you agree that Dotmatics may collect your personal data for recruiting, global organization planning, and related purposes. Dotmatics [Privacy Notice](https://www.dotmatics.com/privacy-policy) explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over Dotmatics use of your personal information.

Dotmatics is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work.

## About Dotmatics

## Company Overview
- **One-liner**: Dotmatics provides a cloud‑based scientific R&D platform that connects best‑in‑breed software applications to accelerate research and innovation.
- **Entity Type**: Private (wholly owned subsidiary of Siemens AG following a $5.1 billion acquisition completed July 1, 2025)
- **Headquarters**: Boston, Massachusetts, United States
- **Founded**: 2005
- **Founders**: Stephen Gallagher, Alastair Hill

## Core Business
- **Primary industry**: Scientific R&D software for life sciences, biopharma, clinical research, and academia.
- **Target customers**: B2B – biopharma companies, contract research organizations (CROs), academic institutions, and forensic/genetic testing labs.
- **Mission**: “To accelerate scientific innovation and help make the world a healthier, cleaner, and safer place to live.”

## Products & Services
- **Dotmatics Platform**: Cloud‑based enterprise data management platform that harmonizes data from instruments and software for AI‑ready analysis.
- **Luma Agent**: Agentic AI assistant that plans, executes, and documents research workflows, from data query to audit‑ready reports.
- **GraphPad Prism**: Widely used statistical analysis and graphing software for scientists.
- **SnapGene**: Molecular biology visualization and cloning software with detailed documentation.
- **Geneious Suite**: Bioinformatics tools for molecular biology, genomics, and antibody screening.
- **LabArchives**: Electronic lab notebook for capturing and collaborating on experimental data.
- **Other Applications**: OMIQ (flow cytometry), Protein Metrics, nQuery, SoftGenetics (clinical/forensic genetics), and M‑Star.

## Market Standing
- **Valuation/Market Cap**: Acquired by Siemens AG for $5.1 billion (announced April 2025, closed July 2025)
- **Key Metric**: 2 million+ users, 10,000+ customers, 800+ employees (LinkedIn data: 364 employees as of mid‑2025, with 4.7% YoY growth)
- **Notable Investors/Partners**: Insight Partners (lead prior to acquisition), Siemens (current parent); customers include Illumina, GSK, Waters Corporation, and PerkinElmer.
- **Growth Signals**: Launch of Luma AI agent; acquisition of SoftGenetics expanding into clinical and forensic markets; 20%+ LinkedIn follower growth; 65% average NPS score.

## Competitive Advantages
- **Ecosystem play**: Open platform that unites multiple industry‑leading scientific applications (GraphPad Prism, SnapGene, Geneious) with a data‑driven backbone.
- **AI leadership**: Luma Agent provides end‑to‑end automation with full traceability, a key differentiator in the lab‑of‑the‑future space.
- **Siemens backing**: Access to global industrial reach, resources, and digital infrastructure after acquisition.
- **User base loyalty**: 2 million active scientists across 180+ countries; strong brand recognition in academia and biopharma.

## Strategic Focus
- Transitioning to an AI‑native "Lab of the Future" with Luma Agent as the central orchestrator.
- Expanding into clinical and forensic genetic analysis via recent acquisitions.
- Deepening integration with Siemens’ digital industry portfolio to offer end‑to‑end R&D solutions.
- Continuing to build a multimodal science platform that structures data for AI/ML applications.

## Why Work Here
- **Culture**: “Science Driven, Customer Centric, Better Together” – built by scientists for scientists.
- **Work model**: Remote‑friendly with hubs in Boston, UK (Bishop’s Stortford), San Diego, Auckland, Tokyo, Cork, and others.
- **Employee ratings**: 4.1/5 on LinkedIn (work‑life 4.2, culture 3.9, compensation 3.8, career 3.7).
- **Engineering roles**: Senior Full Stack Engineer (Node.js), Staff Data Engineer, Senior Data Analytics Engineer, Performance Test Engineer.
- **Impact**: Work on products used by millions of researchers globally, with the opportunity to shape AI‑driven scientific discovery.

## Sources
1. [dotmatics.com](https://www.dotmatics.com/) – Main site, product overview, Luma Agent details.
2. [dotmatics.com/about-us](https://www.dotmatics.com/about-us) – Mission, vision, company history, acquisition by Siemens.
3. [dotmatics.com/about-careers](https://www.dotmatics.com/about-careers) – Culture, remote/hybrid policy, 800+ employees, global hubs.
4. [linkedin.com/company/dotmatics](https://www.linkedin.com/company/dotmatics) – Employee count, revenue, funding, acquisitions, recent departures, job postings.
5. [dotmatics.com/jobs](https://www.dotmatics.com/jobs) – Current open positions.

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- [Java Software Engineer | Geneious](https://feeny.ai/job/java-software-engineer-geneious-dotmatics-auckland-rg8a5p6z87bg) — Auckland, New Zealand
- [IT Support Engineer](https://feeny.ai/job/it-support-engineer-dotmatics-pune-tfe54mnpkyzj) — Pune, India
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