Lead Data Engineer, GFT
RBC · Toronto, Canada ·
- Seniority
- Lead
- Employment
- Full time
- Category
- Data engineering
- Experience
- 3+ years
RBC · Toronto, Canada ·
Royal Bank of Canada · TORONTO, Ontario, Canada
ODAIA · Halifax, Canada
Royal Bank of Canada · TORONTO, Ontario, Canada
Royal Bank of Canada · TORONTO, Ontario, Canada
As Lead Data Engineer in the Data as a Service (DaaS) Team within Global Functions Technology, you will provide technical leadership and execution of development deliverables for the reimagined Finance Data Platform. The platform, leveraging public cloud infrastructure, will serve as the central repository of finance related datasets, with capabilities including the acquisition, standardization, enrichment, and provisioning, of positional/trade, sub‑ledger and general‑ledger trial balances, and reference data, and include capabilities supporting reconciliation, analytics, and reporting functions.
As Lead Data Engineer in the Data as a Service (DaaS) Team within Global Functions Technology, you will provide technical leadership and execution of development deliverables for the reimagined Finance Data Platform. The platform, leveraging public cloud infrastructure, will serve as the central repository of finance related datasets, with capabilities including the acquisition, standardization, enrichment, and provisioning, of positional/trade, sub‑ledger and general‑ledger trial balances, and reference data, and include capabilities supporting reconciliation, analytics, and reporting functions.
We are seeking a Data Engineer with extensive hands‑on experience in designing and developing data platforms. This role requires strong data architecture and engineering skills, effective written and verbal communication, a strong work ethic, and the ability to multi‑task effectively. Additionally, you must possess strong interpersonal, organisational, and problem‑solving skills, along with a demonstrated sense of urgency to respond to changing priorities.
This role will encompass an end‑to‑end system view from data sourcing, lineage, transformation, and storage standpoint to support complex advanced analytics and data management and governance needs and require extensive collaboration with Business architecture, System architecture, Business SME and Data Stewards.
Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis
Address: RBC CENTRE, 155 WELLINGTON ST W:TORONTO
City: Toronto
Country: Canada
Work hours/week: 37.5
Employment Type: Full time
Platform: TECHNOLOGY AND OPERATIONS
Job Type: Regular
Pay Type: Salaried
Posted Date: 2026-04-29
Application Deadline: 2026-09-30
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
First Citizens Bank · NCSDAC-Data Center