Closed listing
Senior Data Engineer
- Toronto, ON, Canada
Pay Rate: $67/hr - $79/hr · Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- Pay Rate: $67/hr - $79/hr
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
- Location: Toronto, ON – Hybrid – Onsite Tuesday, Wednesday, Thursday
- Pay Rate: $67/hr - $79/hr
Responsibilities
Engineering & Architecture
- Design and implement end‑to‑end solutions for data, cloud, and software engineering needs.
- Collaborate with technical leads to align engineering decisions with the strategic vision of Pan‑SLC.
- Build scalable data pipelines, data lakes, and data warehouse solutions.
- Evaluate and implement system integrations supporting SLC’s vision for data‑as‑a‑product and enterprise data discovery.
- Partner with DBTS and enterprise engineering teams to identify, evaluate, and deploy tools and technologies required for current and future platform needs.
- Champion inner‑sourcing practices within Sun Life teams to enable collaborative development.
- Establish and enhance DevOps practices to improve developer experience and time‑to‑market.
- Advocate for and implement strong data governance, quality, and reliability practices.
- Work with analysts, business stakeholders, and product teams to gather requirements and translate them into technical solutions.
- Support business‑critical use cases by delivering secure, scalable, and high‑performance data products.
- Proactively monitor workflows, resolve bottlenecks, and troubleshoot data issues.
- 7–8 years of experience in asset management is mandatory. Candidates must have hands-on experience working in the asset management domain and be highly proficient with Snowflake.
- Bachelors/ master’s degree in computer science or a related technical field.
- 7+ years of experience working in data‑driven organizations on large‑scale, end‑to‑end data initiatives.
- 5+ years of hands‑on experience building data platforms, applications, and pipelines using cloud‑native technologies (AWS, Azure, GCP).
- Deep understanding of cloud data ecosystems (Snowflake - including Warehouses, query optimization, and cost governance, Oracle, Hadoop, etc.). Experience with data ingestion and flow management tools.
- Strong programming skills in Python, Java, Scala, and SQL.
- Expertise with AWS services including S3, EC2, EKS, Glue, SageMaker, Athena, and Redshift.
- Experience designing APIs and microservices.
- Strong communication, negotiation, and stakeholder‑management skills.
- Proven ability to influence, lead change, and drive measurable outcomes.
- Experience with data visualization tools (Power BI, Tableau) is an asset.
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We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
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More about this job
Responsibilities
Design and deliver scalable data platforms, pipelines, lakes, warehouses, integrations, and data products, while advancing platform engineering, DevOps, governance, quality, and reliability. Collaborate with technical teams, analysts, stakeholders, and product teams to translate requirements into secure, high-performance solutions and proactively monitor and troubleshoot data workflows.
Requirements
Requires 7–8 years of hands-on asset management experience, strong Snowflake proficiency, and 7+ years delivering large-scale data initiatives, including 5+ years building cloud-native data platforms and pipelines. A bachelor’s or master’s degree in computer science or a related technical field is required, along with programming, AWS and cloud data ecosystem expertise, API and microservices experience, and strong communication and stakeholder-management skills.
Skills
- Data Engineering
- Asset Management
- Snowflake
- Cloud Data Platforms
- Data Pipelines
- Data Lakes
- Data Warehousing
- Python
- Java
- Scala
- SQL
- AWS
- Data Governance
- DevOps
- API Design
- Microservices
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Engineering
Keywords
- Asset Management
- Snowflake
- AWS
- Azure
- Google Cloud Platform
- S3
- EC2
- EKS
- AWS Glue
- SageMaker
- Athena
- Redshift
- Oracle
- Hadoop
- Python
- Java
- Scala
- SQL
- Data Pipelines
- Data Lakes
- Data Warehouses
- Data Ingestion
- Data Flow Management
- Cloud-Native Technologies
- APIs
- Microservices
- DevOps
- Data Governance
- Power BI
- Tableau