Please send your resume at [email protected] if you are interested in this 1 year contract with Sunlife with a possibility of extension, If you are not interested, please feel free to pass it in your network for anyone looking for work.

Position title: 1687 - Senior Data Engineer

Working Status: Hybrid – Onsite (Min 2 days a week)

Location: 1 York Street, Toronto, Ontario M5J 0B6

Manager Notes

- Industry experience is the highest priority. Candidates must have direct experience working within Asset Management. Experience with Pension Funds, Wealth Management, or Capital Markets is also acceptable, with Asset Management being the strongest preference.
- Candidates should have 5+ years of senior-level Data Engineering experience.
- The manager is looking for candidates whose previous responsibilities closely align with the work they will be performing in this role. Experience should be directly relevant, not just exposure to similar technologies.
- Snowflake is the preferred data platform, as it is the organization's primary technology. However, strong senior candidates with experience leading large enterprise data initiatives using other modern cloud data platforms may still be considered.
- Experience with Databricks, Azure, AWS, or similar cloud data technologies is highly desirable.
- Exposure to AI or AI-enabled data solutions is considered a strong asset.
- Candidates should have experience delivering large-scale enterprise data engineering projects and working within mature data organizations.
- The hiring manager values industry knowledge over specific technologies.



A candidate with robust Asset Management data experience can more easily learn a new technology stack than a technically strong candidate with no investment industry background.
- Candidates should have experience supporting data platforms involving investment, portfolio, securities, holdings, market, or performance data.

Critical Experience:

- 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.

Must have Requirements:

1. 7+ years of experience working in data‑driven organizations on large‑scale, end‑to‑end data initiatives.
2. 5+ years of hands‑on experience building data platforms, applications, and pipelines using cloud‑native technologies (AWS, Azure, GCP).
3. 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.
4. Strong programming skills in Python, Java, Scala, and SQL.
5. Expertise with AWS services including S3, EC2, EKS, Glue, SageMaker, Athena, and Redshift.
6. Experience designing APIs and microservices.

Required Soft Skills:

- Strong communication, negotiation, and stakeholder‑management skills.
- Proven ability to influence, lead change, and drive measurable outcomes.

Nice to have Requirements:

- Experience with data visualization tools (Power BI, Tableau) is an asset.

Education: Bachelors/ master’s degree in computer science or a related technical field

📌 Senior Data Engineer (Greater Toronto Area)
🏢 Amyantek
📍 Greater Toronto Area