Basic Information

Country:

Canada

State:

Date Published:

03-Jul-2026

Job ID:

47210

Travel:

You may occasionally be required to travel for business

This role can be based remotely in Canada

Looking for details about our benefits? You can learn more about them by clicking HERE

Description and Requirements

Hybrid: #LI-Hybrid

BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC does this in a simple and optimized way by connecting people, systems, and data that power the world’s largest organizations so they can seize a competitive advantage.

Senior Data Engineer

We are seeking an experienced Senior Data Engineer to design, build, and scale modern data platforms and pipelines that power Agentic-AI, analytics, reporting, machine learning, and data-driven decision-making across the business. This role is ideal for someone with a strong background in B2B SaaS or enterprise technology environments, where data is critical to driving sales & product insights, revenue operations, customer success, and executive reporting.

The ideal candidate brings deep expertise in data architecture, ELT/ETL development, cloud data platforms, data modeling, and data quality, along with a strong understanding of how to build reliable, scalable, and governed data solutions in fast-paced technology organizations. This person will partner closely with analytics, data science, business teams, and platform stakeholders to ensure trusted data is delivered efficiently and at scale.

Key Responsibilities

• Design, build, and maintain scalable data pipelines and integrations across internal and external systems.

• Develop and optimize data solutions that support analytics, BI, machine learning, AI/Agentic AI, operational reporting, and self-service data access.

• Build robust ELT/ETL workflows to ingest and transform data from systems such as CRM, product telemetry, marketing, finance, support, and subscription platforms.

• Design and maintain clean, scalable, and well-documented data models for enterprise reporting and analytics use cases.

• Improve data reliability, quality, observability, lineage, and performance across the data platform.

• Design and maintain scalable data pipelines and data services that enable AI/ML and GenAI use cases, including model-ready datasets, feature pipelines, and support for retrieval-based and intelligent application workflows.

• Partner with analytics engineers, data scientists, architects, and business stakeholders to translate requirements into production-grade data solutions.

• Ensure data pipelines are secure, governed, and aligned with enterprise data standards and best practices.

• Optimize data processing and storage for performance, cost, scalability, and maintainability.

• Support near real-time and batch data processing patterns as required by business use cases.

• Contribute to the design of the overall data architecture, including ingestion, transformation, orchestration, storage, semantic modeling, and data serving layers.

• Troubleshoot pipeline issues, resolve data inconsistencies, and drive root-cause remediation.

• Contribute to engineering standards, code quality, and team best practices

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field.

• 8+ years of experience in data engineering, preferably in B2B SaaS or large-scale technology companies.

• Strong experience designing and building scalable data pipelines and cloud-based data platforms.

• Advanced proficiency in SQL and strong programming skills in Python, Scala, or Java.

• Hands-on experience with modern cloud data platforms such as Snowflake, BigQuery, Redshift, Databricks, or similar.

• Experience with data orchestration and transformation tools such as Airflow, dbt, Informatica, Fivetran, or equivalent.

• Strong understanding of data modeling, including dimensional modeling and analytics-oriented schema design.

• Experience working with data domains such as product analytics, GTM analytics, customer success, finance, or subscription analytics.

• Experience building and managing data pipelines that support AI/ML workloads, including feature preparation, model-ready datasets, and scalable ingestion of structured and unstructured data.

#LI-Remote

CA-DNP

Our commitment to you!

BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU!

If after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas!

BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.

BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.

The annual base salary range represents the low and high end of the BMC salary range for this position. Actual salaries depend on a wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training, licensure, and certifications; and other business and organizational needs.

The range listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country specific benefits.

At BMC, it is not typical for an individual to be hired at /near the top of the range. A reasonable estimate of the current range is $100,950 - $168,250

We use AI technology to support parts of our recruitment process, but people—not algorithms—make all final hiring decisions. AI may assist with tasks like scheduling, screening for role alignment, or helping us manage large volumes of applications more efficiently. However, candidates are reviewed by a member of our recruitment team, and interviews and hiring decisions are always made by people. We’re committed to ensuring that technology enhances fairness, efficiency, and the candidate experience—never replaces genuine human judgment.