Data Architect

Data Architect

This is with a global IT services firm for a leading investment/wealth management services firm.
Client Location is downtown Toronto Ontario, close to TTC and GO service.
Hybrid - In Office 4 days per week.
Contract - 6 months, possible renewal

Project Description:
Applying to the position, you may join one of the most respected and fastest growing institutional investors in the world. Our client is a professional investment management organization that globally invests the funds to ensure long-term sustainability. The company invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments, and currently has offices in Toronto, London, Hong Kong, New York, São Paulo, Luxembourg and Mumbai.
Client attracts and selects high-calibre individuals from top-tier institutions around the globe. Join our team and look forward to:
- Diverse and inspiring colleagues and approachable leaders
- Stimulating work in a fast-paced, intellectually challenging environment
- Accelerated exposure and responsibility
- Global career development opportunities
- Being motivated every day by important social purpose and unshakable principles
- A deeply rooted culture of Integrity, Partnership and High Performance
If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here's an opportunity.

Responsibilities:
- Manage timelines/deliverables within the team towards the successful delivery of projects.
- Design software solutions by interacting with portfolio managers, traders, operations staff and peers to understand requirements.
- Develop solutions that are in line with client's technology biases, deliver efficiency and scalability, and enable new trading activities.
- Provide knowledge transfer to team members and support staff through application demos, walkthroughs, and documentation.

Mandatory Skills:
- 8+ years' experience
- Proven experience in data modelling, starting with a conceptual model (high-level business entities), progressing to a logical model (building relationships between the business entities), and concluding with a physical model (actual data structure to store the data physically).
- Solid understanding of public markets instruments / Capital Markets domain knowledge
- Proficiency in Python to quickly transform and manipulate data.
- Strong SQL skills, as the Murex database is Oracle.
- Understanding of JSON and XML, since Murex intraday events data will be in MXML format used by Murex.