Sr. Databricks Data Engineer, Onsite AVP

Statestreet; Toronto; Hybrid; CAD 84,000 - 141,000; Full time

Job summary

State Street is seeking a Data Engineer to design and implement high-throughput data pipelines using DataBricks for near real-time processing. You will build end-to-end ingestion pipelines (streaming, events, batch) and deploy scalable ETL on cloud infrastructure with Databricks SQL and PySpark/Scala.

The role requires strong troubleshooting, collaboration across teams, and experience with Azure/AWS services. Onsite 4 days per week, one day remote, within a hybrid work model.

Qualifications

• Bachelor’s degree in computer or IT related subject.
• 7+ years of IT experience.
• 5+ years of Data Engineering handling large datasets.
• 3+ years of Databricks hands-on experience (SQL & Scala/PySpark).
• 3+ years of cloud-based development using Azure/AWS.

Responsibilities

• Design and develop high throughput data pipelines using DataBricks.
• Build end-to-end data ingestion pipelines (streaming, events, batch).
• Develop scalable ETL pipelines on cloud infrastructure using Databricks SQL and Scala/PySpark.
• Optimize Databricks job performance including query optimization and scaling strategies.
• Handle data issues, root cause analysis, and maintenance across environments.
• Participate in all SDLC phases from design to deployment and documentation.

Skills

Databricks SQL

Scala/PySpark

Azure

AWS

Data Lakehouse

API/Event Driven Architecture

DevOps pipelines

Communication

Team collaboration

Education

Bachelor’s Degree in Computer or IT

7+ years IT experience

5+ years Data Engineering

3+ years Databricks experience (SQL & Scala/PySpark)

3+ years Cloud development Azure/AWS

Tools

Databricks

Azure

AWS

Job description

Who we are looking for

We are looking for a Data Engineer with hands-on development experience on DataBricks to process high volume of data in near real time for State Street Global Technology Services

What you will be responsible for

As Data Engineer you will

• Design & Develop custom high throughput and configurable data piplines using DataBricks.
• Ability to drive change through collaboration, influence and demonstration of POCs
• Design, build and test end to end data ingestion pipelines(streaming, events, and batch), data integration, data curation.
• Design, develop, and deploy scalable ETL pipelines on cloud-based infrastructure using Databricks SQL & Scala/PySpark.
• Optimize and tune Databricks job performance, including query optimization, resource management, and scaling strategies
• Address data issues, environment issues, performing impact analysis, root cause analysis, corrective, adaptive and perfective maintenance
• Responsible for all aspects of the software development lifecycle, including design, coding, integration testing, deployment, and documentation

What we value

These skills will help you succeed in this role

• Strong hands-on on Databricks SQL & Scala/PySpark - Data engineering pipeline.
• Strong hand-on experience in troubleshooting DevOps pipelines and Azure services
• Expertise on end-to-end data solutioning for building Data Lakehouse using Databricks.
• Experience with Micro Services - API/Event Driven Architecture/Development
• Strong hands-on experience in troubleshooting DevOps pipelines and Azure services
• Strong critical thinking, communication, and problem-solving skills.

• Education & Preferred Qualifications

• Bachelor’s Degree level qualification in a computer or IT related subject.
• 7+ years of overall IT experience.
• 5+ years of Data Engineering experience handling large datasets.
• 3+ years of Databricks hands-on experience using SQL & Scala/PySpark.
• 3+ years of experience on cloud-based development using Azure/AWS.

• Additional requirements

• Communicate effectively in a professional manner both written and orally
• Team player with a positive attitude enthusiasm initiative and self-motivation
• Experience of working in the financial industry
• Experience in collaborating with team members, users and stakeholders across geographical locations.
• Ability to multi-task, meet aggressive timelines and have strong work ethics
• Experience with agile development methodology

Work Requirement

• Onsite 4 days a week in office and one day remote

• Standard business hours aligned to project and stakeholder needs(8am to 5pm)

Salary Range:

$91,000 - $140,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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