Lead Data Solution Engineer
RBC
Get more replies from employers
Send a job-specific resume in minutes.
Benefits offered by this job
Job summary
RBC is looking for a Lead Data Solution Engineer to architect and deliver enterprise-scale data solutions for HR. You will lead cross-functional teams, drive data strategy and governance, and mentor engineers to ensure scalable, secure data platforms in a highly regulated environment.
In this role you will design data models, develop ETL/ELT pipelines, and oversee DevOps practices, with hands-on work in Snowflake, OpenShift, and modern tooling.
Qualifications
- Bachelor’s degree in Computer Science, Software Engineering or equivalent.
- 10+ years of experience in data architecture, data engineering, or enterprise data management.
- 6+ years designing enterprise data architectures across multiple domains.
- 6+ years designing and optimizing ETL/ELT and data integration solutions.
- 6+ years with data warehouses, data lakes, and analytics platforms.
- 6+ years with data modeling and relational database design.
- 5+ years of hands-on experience with Snowflake or other cloud data platforms.
- 5+ years of hands-on experience with SQL, Python, Java or similar languages.
- 3+ years designing, architecting, or building data products.
- Strong understanding of data governance frameworks, data quality methodologies, and metadata management.
- Experience in highly regulated industries (banking, financial services) with compliance requirements.
Responsibilities
- Design and develop data models, processes, and systems.
- Provide hands-on technical leadership for data solutions.
- Lead end-to-end data solution design for HR systems.
- Define and govern data architecture standards.
- Build and optimize scalable ETL/ELT workflows (OpenShift, Snowflake, dbt, Airflow, Spark).
- Drive DevOps/CI-CD practices for deployments and high availability.
- Collaborate with HR stakeholders to translate requirements into solutions.
- Mentor engineers and lead cross-functional teams.
- Apply emerging technologies (AI/LLM, analytics) to HR data capabilities.
Skills
Education
Tools
Job description
The HR/BMCC Innovation Data team serves as a horizontal function delivering business systems analysis, product management and data expertise to HR, BMCC business and other IT partners. We are the Data Strategy pillar in this team, responsible for building a data platform product (data hub) for HR.
As the Lead Data Solution Engineer in the Data Strategy team, you will architect and deliver enterprise-scale data solutions that drive innovation and efficiency in HR processes. This role combines deep technical/hands-on expertise in data engineering, architecture, and modeling with strategic leadership to align data systems with HR business objectives. You will lead cross-functional teams, mentor engineers, and ensure compliance with RBC’s regulatory standards in a highly governed environment.
- Design and develop data models, processes, and systems, ensuring alignment with business requirements and adherence to organizational standards and best practices.
- Provide hands-on technical leadership, and deliver innovative data solutions that enhance operational efficiency and address complex challenges.
- Lead end-to-end data solution design and implementation of HR systems, ensuring scalability, security, and alignment with RBC’s hybrid could strategy (Azure/AWS/On-prem).
- Define and govern data architecture standards, including enterprise data models, relational database design, and metadata management for HR domains.
- Build and optimize scalable ETL/ELT workflows using tools like OpenShift, Snowflake, dbt, Airflow and Spark, with a focus on HR data integration (e.g., core HR, payroll, talent management).
- Drive DevOps/CI-CD practices to automate deployment pipelines and ensure high availability of HR data platforms.
- Collaborate with HR stakeholders and product managers to translate business requirements into technical solutions, ensuring compliance with data governance and regulatory frameworks (e.g., risk, privacy).
- Mentor other engineers and lead cross-functional teams (developers, business analysts, HR partners) to deliver impactful data solutions.
- Apply emerging technologies (e.g., AI/LLM, advanced analytics) to enhance HR data capabilities and innovation.
- Bachelor’s Degree in Computer Science, Software Engineering or equivalent.
- 10+ years of experience in data architecture, data engineering, or enterprise data management.
- 6+ years designing enterprise data architectures across multiple domains.
- 6+ years designing and optimizing ETL/ELT and data integration solutions.
- 6+ years with data warehouses, data lakes, and analytics platforms.
- 6+ years with data modeling and relational database design.
- 5+ years of hands-on experience with Snowflake or other similar cloud data platforms.
- 5+ years of hands-on experience with SQL, Python, Java or other similar coding languages.
- 3+ years of experience designing, architecting, or building data products.
- Strong understanding of data governance frameworks, data quality methodologies, and metadata management.
- Experience in highly regulated industries (banking, financial services) with compliance requirements.
- Proven ability to design scalable, secure, and high-performance data solutions.
- Excellent communication skills with ability to translate complex technical concepts for business leadership.
- Strong analytical and problem-solving skills with attention to detail.
- Snowflake or cloud data platform certifications.
- Experience with metadata-driven architectures, API design, domain-driven design, or data mesh patterns.
- Agile, CI/CD, and DevOps experience
- Experience with AI/ML applications in HR data (e.g., talent analytics, workforce planning).
- Familiarity with HR systems (e.g., Workday, SAP SuccessFactors) and integration patterns.
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- A world-class training program in financial services
- Flexible work/life balance options
- Opportunities to do challenging work
Cloud Data Architecture, Collaboration, Data Architecture Development, Data as a Service, Database Application Development, Data-Driven Design, Data Engineering, Data Modeling, Data Warehousing (DW), ETL Pipelines, Human Resources (HR) Data, Metadata Management, Python (Programming Language), Red Hat OpenShift, Requirements Analysis, Snowflake (Platform), Structured Query Language (SQL)
20 KING ST W: TORONTO
Toronto
Canada
37.5
Full time
TECHNOLOGY AND OPERATIONS
Regular
Salaried
2026-08-04
2026-08-19
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.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
