Rbc
Financial Services
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Rbc. Skills: Snowflake, Informatica Cloud (IICS), data modeling, advanced SQL, cloud data warehouses, data transformation, ETL. Lead data discovery, exploration, investigation, and impact apply best practices across data flows and systems. Conduct data profiling, preparation, and validation against requirements”
What You'll Achieve.
establish frameworks and standards that ensure accurate, efficient, and secure data delivery; achieve organizational objectives
Industry & Context.
Highly developed problem-solving abilities
What They're Looking For.
Must Have
SDLC frameworks, database technologies, advanced SQL, data transformation, ETL tools, cloud data warehouses, data modeling, 10+ years designing, developing, and deploying production-scale data solutions, Snowflake for: Architecture design, warehouse development, schema optimization, security, and performance tuning, 5+ years with Informatica Cloud or similar cloud-based ETL platforms, IICS development, mapping design, workflow orchestration, connector configuration, and pipeline optimization, Expertise in dimensional, relational, and semantic data lineage documentation, Cloud infrastructure knowledge (AWS, Azure, GCP), Kubernetes, Docker, serverless computing, Data orchestration, version control (Git), CI/CD, Advanced communication and collaboration skills, Highly developed analytical and problem-solving abilities
Nice to Have
Python, Experience with US Mortgage, lending, or financial services data (e. g. , loan lifecycle, servicing, origination), Banking/financial services industry experience
What You'll Do.
and impact apply best practices across data flows and systems
Conduct data profiling
and validation against requirements
Design and develop conceptual
and physical data models aligned with business requirements
Create Entity Relationship diagrams
dimensional models (star/snowflake schema)
and data flow diagrams
Document inconsistencies
and misclassifications
and optimize Snowflake data warehouse solutions including schema design
and performance tuning
Develop and deploy cloud-based data integration pipelines using Informatica Cloud (IICS)
Execute transformations
and data manipulations using advanced SQL
Guide integration across data sources and maintain enterprise-level view of data landscape
Document workflows (functional/technical specs
Ensure audit controls (ABC Framework) and security standards across all designs
Work with SMEs and business partners to establish standards and achieve organizational objectives
Leverage generative AI and LLMs to enhance data insights and develop innovative solutions
How You'll Work.
Team & Collaboration
Work with SMEs and business partners to establish standards and achieve organizational objectives; Advanced collaboration skills
Communication Scope
Advanced communication skills
Process & Methodology
SDLC frameworks
Full Job Description
**_Job Description_** **WHAT IS THE OPPORTUNITY?** The Senior Data Engineer bridges analytical expertise and engineering capabilities within the US Mortgage Technology group. This role leads end-to-end data solutions—from requirements gathering through deployment—establishing frameworks and standards that ensure accurate, efficient, and secure data delivery. The professional innovates at the forefront of financial data solutions, leveraging cutting-edge technologies to solve real-world problems in global financial markets. **WHAT WILL YOU DO?** * Lead data discovery, exploration, investigation, and impact assessments; apply best practices across data flows and systems * Conduct data profiling, preparation, and validation against requirements * Design and develop conceptual, logical, and physical data models aligned with business requirements * Create Entity Relationship diagrams, dimensional models (star/snowflake schema), and data flow diagrams * Document inconsistencies, data gaps, and misclassifications * Design, develop, and optimize Snowflake data warehouse solutions including schema design, architecture, and performance tuning * Develop and deploy cloud-based data integration pipelines using Informatica Cloud (IICS) * Execute transformations, aggregations, and data manipulations using advanced SQL * Guide integration across data sources and targets; maintain enterprise-level view of data landscape * Document workflows (functional/technical specs, mapping diagrams, testing plans, run books) * Ensure audit controls (ABC Framework) and security standards across all designs * Work with SMEs and business partners to establish standards and achieve organizational objectives * Leverage generative AI and LLMs to enhance data insights and develop innovative solutions **WHAT DO YOU NEED TO SUCCEED?** **Must have:** * 6-8 years with SDLC frameworks, database technologies, advanced SQL and data transformation, ETL tools, cloud data warehouses, and data modeling * 10+ year
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