Lead Software Engineer
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- Years of Experience: 14+ Years
- Posting language
- English
- Posted
Original job description
Job Requirements
Business Systems Analyst
Location: PCS CA~TORONTO
Years of Experience: 14+ Years
Job Summary: The Business Systems Analyst (BSA) serves as a strategic bridge between business stakeholders and technical execution teams, driving enterprise data modernization initiatives. With over 14 years of experience, the BSA is responsible for understanding complex legacy data ecosystems, translating business requirements into technical blueprints, and guiding cross-functional teams through end-to-end data platform migrations. The primary purpose of this role is to ensure business continuity, data integrity, and seamless operational alignment during legacy SAS platform transformations to modern AWS cloud architectures.
Responsibilities
Work Experience
5-7Years
Business Systems Analyst
Location: PCS CA~TORONTO
Years of Experience: 14+ Years
Job Summary: The Business Systems Analyst (BSA) serves as a strategic bridge between business stakeholders and technical execution teams, driving enterprise data modernization initiatives. With over 14 years of experience, the BSA is responsible for understanding complex legacy data ecosystems, translating business requirements into technical blueprints, and guiding cross-functional teams through end-to-end data platform migrations. The primary purpose of this role is to ensure business continuity, data integrity, and seamless operational alignment during legacy SAS platform transformations to modern AWS cloud architectures.
Responsibilities
- Lead requirement-gathering workshops with key business stakeholders to uncover operational needs and legacy system dependencies.
- Analyze legacy SAS code, data pipelines, and reporting logic to document existing business rules and data flows.
- Create detailed functional specification documents, user stories, and target-state architecture workflows for cloud engineering teams.
- Perform end-to-end data mapping from source legacy databases and SAS datasets into modern target cloud structures and data catalogs.
- Design and execute end-to-end user acceptance testing (UAT) frameworks and data validation strategies to verify migration accuracy.
- SAS Platform Ecosystem & Code Analysis (Expert)
- AWS Cloud Data Services (S3, Redshift, Glue, EMR) (Advanced)
- Data Mapping & Interface Specification (Expert)
- Enterprise Data Cataloging (Data.world / Alation) (Advanced)
- Legacy-to-Cloud Migration Methodologies (Expert)
- Data Modeling & Database Architecture (Advanced)
- Communication & Presentation
- Agile/Scrum Delivery Management
- Data Governance & Compliance
- ETL/ELT Pipeline Concepts
- Data Lineage & Metadata Management
- User Acceptance Testing (UAT) Coordination
Work Experience
5-7Years
More about this job
Responsibilities
Lead stakeholder workshops and analyze legacy SAS code, pipelines, and reporting logic to document business requirements, rules, and data flows. Define migration specifications and data mappings, and coordinate UAT and validation to support accurate, continuous migration to AWS cloud platforms.
Requirements
The posting requires a bachelor's degree in Computer Science, Information Technology, or a related field, along with experience in SAS-to-AWS migration and data mapping. It lists expertise in SAS analysis, data mapping, and legacy-to-cloud migration, plus advanced knowledge of AWS data services, enterprise data cataloging, and data architecture.
Skills
- SAS Platform Ecosystem
- SAS Code Analysis
- AWS Cloud Data Services
- Data Mapping
- Interface Specification
- Enterprise Data Cataloging
- Legacy-to-Cloud Migration
- Data Modeling
- Database Architecture
- Requirements Gathering
- Functional Specifications
- User Acceptance Testing
- Data Validation
- Data Governance
- ETL/ELT Pipelines
- Data Lineage
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Consulting
Keywords
- SAS
- AWS
- Amazon S3
- Amazon Redshift
- AWS Glue
- Amazon EMR
- Data.world
- Alation
- Legacy Data Systems
- Cloud Migration
- Data Modernization
- Data Mapping
- Interface Specifications
- Data Cataloging
- Data Modeling
- Database Architecture
- Data Pipelines
- ETL/ELT
- Data Governance
- Data Lineage
- Metadata Management
- User Acceptance Testing
- Data Validation
- Agile
- Scrum
- Functional Specifications
- User Stories
- Business Requirements