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Added 2 months ago
OT
Business Analyst, Financial Management and Reporting (FMR)
Ontario Teachers' Pension Plan
Toronto, ON
- Full-time
Experience and skills in data modelling, data analytics tools such as SQL and data querying
Added 1 month ago
MI
Senior Associate, IT, Application Support Analyst (Core Banking)
MUFG Investor Services
Toronto, ON
- $91,000 to $110,000 CAD / year
- Full-time
Exposure and understanding of SWIFT products and messaging standards, ISO 20022,SQL Server, PL/SQL, Java and .Net applications.
Added 4 months ago
CF
Manager, Data Operations
CI Financial
Toronto, Ontario
- Full-time
Proficiency in SQL and Python, with the ability to guide technical design and review solutions.
Added 5 months ago
Director, Business Intelligence
Viral Nation Inc.
Canada
Deep technical proficiency in analytics and BI technologies, including Python and SQL for analysis and data modeling, Google Cloud Platform, BigQuery, and Snowflake for data infrastructure,…
Added 5 months ago
S
Sr. Site Reliability Engineering - Azure Platform
SimCorp
Toronto, Ontario
- Full-time
Comfort with Linux and Windows systems, APIs, scripting (PowerShell, Bash), and SQL
Added 3 months ago
Staff Data Developer
AlayaCare
Montreal, Quebec
We are seeking a Staff Data Developer to join our Data & Intelligence division. Reporting to the Director of Data Engineering, you will design and implement scalable, complex data pipelines…
Added 1 month ago
EA
Economic Data Analyst/Scientist
Environics Analytics
Toronto, ON
- Full-time
Proficient in advanced SQL queries with a strong understanding of relational databases.
Added 3 months ago
DevOps Systems Administrator – Linux
Global Relay
Vancouver, BC
SQL administration (Postgres, MySQL, SQL Server, Oracle, etc.)
Added 8 months ago
Lead Developer
Purdys Chocolatier
Vancouver, British Columbia
We’re looking for a Lead Developer to join our IT team based in the 8330 Chester Office in Vancouver, BC! This person will report to the IT Operations Manager.
Added 4 months ago
S
Senior Manager, Data Science
SOTI
Mississauga, Ontario
- Full-time
It all started with a classic story about one developer’s vision. In 1995, Carl Rodrigues, President and CEO of SOTI, has developed solutions for managing mobile device screens from a…
Added 5 months ago
Architect
Benevity
Toronto, Ontario
Proficiency in programming and analytics using Python, SQL, and Jupyter Notebooks
Added 5 months ago
Architect
Benevity
Calgary, Alberta
Proficiency in programming and analytics using Python, SQL, and Jupyter Notebooks
Added 2 months ago
Product Data Manager
Acuity Inc.
Brossard, QC
Added 2 months ago
JS
BI Data Engineer
Jonas Software
Markham, ON · Canada - Markham - Ontario
- Full-time
…semantic data models - primarily in AWS QuickSight on top of SQL-based datasets. This is a hands-on BI role that involves building data models, data pipelines and a web presentation layer.…
Added 2 months ago
JC
BI Data Engineer
Jonas Club Software
Markham, ON · Canada - Markham - Ontario
- Full-time
…semantic data models - primarily in AWS QuickSight on top of SQL-based datasets. This is a hands-on BI role that involves building data models, data pipelines and a web presentation layer.…
Added 3 months ago
Ingénieur(e) en soutien de production | Programme diplômés Cloud, DevOps et SRE / Production Support Engineer | Cloud, DevOps & SRE Graduate Programme
mthree
Montreal, Quebec
Des connaissances de base en SQL et une familiarité avec les bases de données relationnelles.
Added 4 months ago
Développeur génie logiciel junior / Junior Software Developer
mthree
Montreal, Quebec
Connaissance des concepts de base de données (SQL, stored procs, schema design)
Added 4 months ago
Développeur génie logiciel / Junior Software Developer – Canada (Montreal)
mthree Recruiting Portal
Montreal, Quebec
Connaissance des concepts de base de données (SQL, stored procs, schema design)
Added 4 months ago
Power BI Developer
mthree Recruiting Portal
Montreal, Quebec
Outstanding opportunity to join a new Global data innovation and infrastructure lab at a global banking organisation as a Power BI Developer.
Added 3 months ago
Staff Product Manager, Growth
Brex
Vancouver, British Columbia
Deep analytical fluency; comfortable working with funnel metrics, experimentation frameworks, and data tools (SQL proficiency preferred).
Added 6 months ago
Manager, Customer Operations
Forma.ai
Toronto, Ontario
Added 2 months ago
Staff Back End Engineer (Applications)
Forma.ai
Toronto, ON
Strong foundation in relational schema design, data modelling, and SQL.
Added 2 months ago
Senior Staff Backline Engineer - Data & AI
Databricks
Vancouver, BC
…efficient workflows. Solid hands-on programming skills in Python, SQL, or…
Added 4 months ago
B
AI Scientist & Engineer, Assurance Innovation Lab
BDO
Calgary, Alberta · Edmonton, Alberta · Halifax, Nova Scotia
- Full-time
Data & Vector Infrastructure: Hands-on experience with Pinecone, Milvus, Weaviate, and standard SQL/NoSQL databases
Added 4 months ago
BB
Senior Account Executive
Bosch Building Technologies
Calgary, Alberta
- Full-time
…Intrusion Systems, Client-Servicer security applications, MS SQL databases, Server and Storage…

Databricks

Senior Staff Backline Engineer - Data & AI

Vancouver, BC, Canada

$170.40 - $255.60 USD

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Job details

Pay: $170.40 - $255.60 USD
Posting language: English
Posted: Aug 11, 2026

Original job description

P-1381

At Databricks, we are passionate about enabling Data & AI teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

About the Team:

The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform improvements. We emphasise automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform and the health of our products. By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a delightful experience for both customers and internal teams.

What your impact will be:

Deep Dive Troubleshooting: Conduct deep-dive forensics into Spark core internals and the broader Databricks Data and AI ecosystem to resolve high-priority architectural failures and complex system anomalies.
Root Cause Analysis: Perform advanced code-level analysis and resource profiling to identify and mitigate systemic root causes, ensuring the stability and reliability of high-scale production workloads.
Architectural Optimization: Optimise architectural performance across the Data and AI stack by refining execution parameters and enforcing best practice strategies to maximise resource efficiency and throughput.
Product Improvements: Analyse global issue trends and patterns to partner directly with Product Engineering, influencing the product roadmap and driving initiatives that enhance long-term supportability.
Scalability & Tooling: Develop reproduction frameworks, automated workflows, and AI-driven diagnostic tools that translate complex backline findings into standardised resolution paths to empower and scale the broader organisation.

What we look for:

We are looking for customer-obsessed candidates with 10+ years of relevant experience, including deep expertise in one of the following three specialized tracks, along with proven experience in managing both customers and technical stakeholders. Since each track calls for a different set of technical capabilities, we’re looking for excellence in one area rather than proficiency in all:

Data Engineering Track: Expertise in large-scale big data solutions and ETL pipelines using Spark, Delta Lake, or Hive. Strong experience troubleshooting failures, diagnosing performance issues, and identifying root causes. Demonstrated problem-solving ability and understanding of data engineering best practices to ensure reliable, efficient workflows. Solid hands-on programming skills in Python, SQL, or Scala.
Product Supportability Track: Deep understanding of distributed system internals. Ability to perform code-level root-cause analysis and profiling (using metrics and heap/thread dumps) in Java, Scala, or Python. Proven record of contributing to bug fixes and mentoring other engineers.
AI Track: Experience with large-scale machine learning and generative AI systems, including LLM-based applications and agent-driven workflows. Strong grasp of model training, evaluation, and deployment in distributed environments. Experience managing the ML lifecycle, including governance and operationalisation. Skilled in diagnosing and optimising distributed ML workloads for performance and scalability.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$170.40 - $255.60 USD

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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More about this job

Responsibilities

The role involves deep-dive forensics into Spark core internals and the broader Data & AI ecosystem to resolve high-priority architectural failures and complex system anomalies through advanced code-level analysis. Responsibilities also include optimizing architectural performance, partnering with Engineering on product improvements based on global issue trends, and developing automated tooling to scale resolution paths.

Requirements

Candidates must have 10+ years of relevant experience and deep expertise in one of three tracks: Data Engineering (Spark/Delta Lake/ETL), Product Supportability (distributed systems internals/code-level analysis), or AI (large-scale ML/Generative AI systems). Proven experience managing both customers and technical stakeholders is required.

Skills

Spark
Delta Lake
Hive
Python
SQL
Scala
Java
Distributed System Internals
Code-Level Root-Cause Analysis
Profiling
Machine Learning
Generative AI
LLM-Based Applications
ML Lifecycle Management
Troubleshooting
Performance Optimization

Visa sponsorship

Not detected in the job text

Keywords

Data
AI
Backline Engineering
Support
Escalations
Customer Success
Automation
Tooling
Spark
Delta Lake
Hive
ETL Pipelines
Python
SQL
Scala
Java
Distributed Systems
Profiling
Machine Learning
Generative AI
LLM
MLOps
Performance Tuning
Root Cause Analysis
Architecture Optimization
Data Intelligence Platform

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