Director, Data Engineering (LEADS â CM)
Director, Data Engineering (LEADS â CM)
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Job Description
Job Summary
Job Description
Whats the opportunity
We are seeking a Data Engineering leader to drive the development of Data engineering solutions on RBCs Enterprise Data and AI Hybrid Multi-cloud Platforms that meet the strategic data objectives of the Capital Markets business. The successful candidate will be responsible for leading the design development and implementation of data solutions as well as lead mentor and grow a team of talented data engineers. This role requires a thorough understanding of the capital markets industry including its various segments products and services. This expertise should encompass the inner workings of the Capital markets organization like Investment Banking including its operations risk management and regulatory requirements.
Your responsibilities include:
This role will encompass an end-to-end Data Integration view from data sourcing lineage transformation and storage to support complex advanced analytics and AI and require extensive collaboration with Business architecture System architecture Business SME and Data Stewards.
Work with the Business SMEs and Platform leads to understand and determine best mix of development and technical data solutions to meet business requirements and project objectives;
In depth understanding of the Capital markets infrastructure on-premises and in the public cloud as well as tools used in data management analysis and reporting;
Lead the build of batch and real-time data pipelines (inbound outbound);
Integrate data with Cloud based platforms and publish curated data products for consumption;
Participate in Data management requirements and support Data and AI needs of business and technology stakeholders;
Work in an agile team of Data Engineers Developers and RBC business stakeholders;
Collaborate with data scientists process engineers and business stakeholders on requirement gathering and assist with prescriptive and predictive analytics through consolidated data pipelines.
Youre our ideal candidate if you have:
Bachelors degree in computer science or related technical field involving coding (e.g. physics or mathematics) or equivalent technical experience;
10 years of hands-on experience in data engineering and technologies Snowflake Databricks (Capital Markets Aperture data Platform);
10 years of Python development experience;
10 years of SQL experience (Spark and Databricks-specific SQL is a plus);
10 years of experience with schema design dimensional data modeling and scalable data architecture;
Strong knowledge of algorithms and data structures;
Working knowledge of the Data Engineering Tech Stack: Python PySpark Databricks Airflow Kafka Snowflake API: Apigee Portal/analytics solutions: Angular Security frameworks: LDAP Kerberos OAuth 2.0 Vault integration.
Nice to have:
Masters degree in computer science or equivalent experience;
Automation/DevOps: GtiActions Selenium and similar technologies;
Source code control: GIT;
Experience working in agile/SaFe environment.
Whats in it for you
Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
A comprehensive Total Rewards Program including bonuses and flexible benefits competitive compensation commissions and stock options where applicable;
Leaders who support your development through coaching and managing opportunities;
Ability to make a difference and lasting impact from a local-to-global scale.
About RBC Borealis
RBC Borealis is the driving force behind Royal Bank of Canadas AI and data innovation. As part of Canadas largest financial institution we bring together a team of architects engineers scientists and product experts on a mission to revolutionize finance through world-class research solutions and a resilient data platform. With locations across Toronto Waterloo Montreal Calgary and Vancouver were at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting causal machine learning and responsible AI we are seamlessly integrating AI research and data engineering to solve critical challenges in the financial industry. We are building intelligent and scalable data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.
Inclusion and Equal Opportunity Employment
RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race color religion sex sexual orientation gender identity national origin age disability protected veterans status Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.
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Job Skills
Big Data Management Cloud Computing Database Development Data Mining Data Warehousing (DW) ETL Processing Quality Management Requirements Analysis Software Product Management Waterfall ModelAdditional Job Details
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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
At 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.
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Required Experience:
Director
Employment Type
Full-Time
