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SAP Data Archiving Developer

  • Markham, ON, Canada

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Job details

Job type
Contract
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Experience
10+ years of experience in SAP data management, data migration, data archiving, or enterprise data projects.
Posting language
English
Posted

Original job description

About Alteris Consulting

At Alteris Consulting, we connect top-tier technology professionals with organizations undertaking large-scale digital transformation initiatives. We specialize in delivering experienced consultants across SAP, enterprise applications, data management, cybersecurity, cloud, and business transformation programs. Our focus is on providing exceptional talent that drives measurable business outcomes for our clients.

Role Overview

Alteris Consulting is seeking an experienced SAP Data Archiving Developer to support enterprise data archiving, application retirement, and SAP transformation initiatives. This role requires a hands-on professional with strong SAP data expertise and proven experience in data extraction, validation, reconciliation, and migration activities.

The successful candidate will work closely with business stakeholders, SAP functional teams, and technical resources to analyze legacy data, execute archiving activities, validate data quality, and support enterprise-scale data retention and decommissioning programs. Experience with the JiVS Information Management Platform (IMP) is considered a strong asset.

Key Responsibilities
  • Design and develop data extraction, transformation, validation, and reconciliation processes across SAP and non-SAP environments.
  • Create, optimize, and troubleshoot complex SQL queries and database procedures.
  • Analyze SAP data models and business object relationships across Finance, Procurement, Sales, Supply Chain, and Master Data domains.
  • Support enterprise data archiving, retention, and legacy application decommissioning initiatives.
  • Develop and execute data quality, validation, and reconciliation testing activities.
  • Validate migrated and archived data against source systems and business requirements.
  • Identify and resolve data integrity and data quality issues.
  • Collaborate with SAP functional consultants, business users, and project teams to define archiving and retention requirements.
  • Produce technical documentation, mapping specifications, test results, and validation procedures.
  • Support audit, compliance, and regulatory retention requirements for archived enterprise data.
  • Participate in cutover planning, mock conversions, migration rehearsals, and production deployments.
Required Qualifications
  • 10+ years of experience in SAP data management, data migration, data archiving, or enterprise data projects.
  • Strong hands-on SQL development and database querying experience.
  • Experience developing and testing complex data extraction, validation, and reconciliation routines.
  • Solid understanding of SAP data structures and underlying SAP tables.
  • Experience with data profiling, cleansing, validation, and quality assurance activities.
  • Experience working with large-scale enterprise datasets.
  • Ability to investigate, troubleshoot, and resolve data quality issues.
  • Experience supporting SIT, UAT, and production validation activities. strong analytical, troubleshooting, and problem-solving skills.
Preferred Qualifications
  • Experience with JiVS Information Management Platform (IMP). SAP Data Services (BODS) experience.
  • SAP ILM (Information Lifecycle Management) knowledge.
  • SAP Archiving Objects expertise.
  • SAP ECC and/or SAP S/4HANA experience.
  • Experience supporting application retirement ad legacy system decommissioning initiatives.
  • Knowledge of data retention, compliance, and regulatory requirements.
  • Familiarity with enterprise data warehouse and ETL environments.
  • Experience working with Azure, AWS, or cloud-based data platforms.
Technical Skills

Experience with one or more of the following technologies is highly desirable:

  • JiVS IMP
  • SAP ECC
  • SAP S/4HANA
  • SAP ILM
  • SAP Data Services (BODS)
  • SAP HANA
  • SQL Server
  • Oracle
  • Snowflake
  • Azure Data Factory
  • Power BI
  • ETL / Data Integration Tools
Why Join Alteris Consulting?
  • Work on large-scale SAP transformation and data modernization initiatives.
  • Collaborate with industry-leading SAP professionals and enterprise clients.
  • Gain exposure to enterprise archiving, application retirement, and S/4HANA transformation programs.
  • Flexible consulting opportunities with competitive market rates.
More about this job

Responsibilities

Design and execute data extraction, transformation, validation, and reconciliation processes for SAP and non-SAP systems, supporting archiving, retention, migration, and legacy application decommissioning. Collaborate with business and technical teams to define requirements, resolve data quality issues, document procedures, and support testing, cutovers, audits, and production deployments.

Requirements

Requires 10 or more years of experience in SAP data management, migration, archiving, or enterprise data projects, along with strong SQL skills and knowledge of SAP data structures. Candidates should have experience with large datasets, data quality and reconciliation, and SIT, UAT, and production validation; JiVS IMP, BODS, SAP ILM, and SAP ECC or S/4HANA experience are preferred.

Skills

  • SAP Data Archiving
  • SQL Development
  • Data Extraction
  • Data Transformation
  • Data Validation
  • Data Reconciliation
  • SAP Data Structures
  • Data Profiling
  • Data Quality Assurance
  • Data Migration
  • SAP Data Services
  • SAP ECC
  • SAP S/4HANA
  • ETL

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Data & Analytics
  • Software
  • Consulting

Keywords

  • SAP Data Archiving
  • SAP ECC
  • SAP S/4HANA
  • SAP Data Services
  • SQL
  • SQL Server
  • Oracle
  • Snowflake
  • Azure Data Factory
  • Power BI
  • ETL
  • Data Integration
  • Data Extraction
  • Data Transformation
  • Data Migration
  • Data Validation
  • Data Reconciliation
  • Data Profiling
  • Data Cleansing
  • Data Quality Assurance
  • Application Retirement
  • Legacy System Decommissioning
  • Data Retention
  • Regulatory Compliance
  • Enterprise Data Warehousing
  • Cutover Planning
  • SIT
  • UAT

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