Rbc
Financial Services
LeadDataEngineer,GFT
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“Lead Data Engineer, GFT at Rbc. Skills: Data Engineering, Cloud Architecture, Data Platforms, Data Transformation, ETL Frameworks, API Development, Generative AI. Provide technical leadership and execution of development deliverables for the reimagined Finance Data Platform. Design, develop, and support new and existing data pipelines, recommending improvements and modifications”
What You'll Achieve.
Deliver trusted advice to help clients thrive and communities prosper; Achieving success that is mutual; Make a difference and lasting impact
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
Undergraduate degree/diploma in computer science/engineering or related technology discipline, 7+ years of experience in data engineering, at least 3 years of hands-on experience in system integration, data engineering and cloud architecture, and tools & technologies, Big-Data/Lakehouse platforms as Cloudera Data Platform, Microsoft Azure, AWS, Data transformation tools/technologies/platforms such as: Data Build Tool (DBT), Databricks, Snowflake, Orchestration: Apache Airflow/ Stonebranch UAC/Control-M, Cloud and Containers: OpenShift (OCP)/Docker/Kubernetes, API Development: FastAPI, or other API framework, Security: LDAP, Kerberos, OAuth 2. 0, Microsoft Entra ID, HashiCorp Vault integration, DevOps: GitHub Actions, Programming languages: Python/Scala/Java, Demonstrable experience with data management and governance practices, Demonstrable experience with SQL with any ANSI-compliant RDBMS, Demonstrable experience with generative-AI tools/technologies
Nice to Have
Experience with/exposure to migrating data platforms from on-premises to off-premises (cloud) infrastructure, Experience with Capital Markets or other financial technology services’ middleack-office environments, Experience with/exposure to financial services’ products
What You'll Do.
Provide technical leadership and execution of development deliverables for the reimagined Finance Data Platform
and support new and existing data pipelines
recommending improvements and modifications
Utilize expertise in data transformation techniques to enrich raw data
Build and implement ETL frameworks to improve code quality and reliability
Develop scripts and programs for converting various types of data into usable formats
Ensure the accuracy and consistency of data processing
Support complex advanced analytics and data management and governance needs
How You'll Work.
Team & Collaboration
Extensive collaboration with Business architecture, System architecture, Business SME and Data Stewards; Work closely with the data team and other stakeholders to understand their data requirements and assist in building data solutions; Communicate strategies and processes around data modeling and architecture to cross-functional groups
Communication Scope
Effective written and verbal communication
Full Job Description
**_Job Description_** **What is the opportunity?** 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, organizational, and problem-solving skills, along with a demonstrated sense of urgency to respond to changing priorities. **What will you do?** 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. * Work closely with the data team and other stakeholders to understand their data requirements and assist in building data solutions that cater to their needs. * Design, develop, and support new and existing data pipelines, recommending improvements and modifications. * Communicate strategies and processes around data modeling and architecture to cross-functional groups. * Identify, design, and implement internal process improvements. * Utilize your expertise in data transformation techniques to enrich raw data, making it more accessible and
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