Remote SAP Data Integration Architect

SMX

Columbia (SC)

Remote

USD 116,000 - 193,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Retirement benefits
Paid time off

Job summary

SMX is seeking a Data Integration Specialist to design, develop, and maintain ETL/ELT pipelines connecting source financial systems to a new budgeting platform. This fully remote role requires US citizenship and Public Trust clearance, with travel <20%.

You will collaborate with SAP experts and business stakeholders, implement data quality controls, and document data flows to ensure secure, scalable data integration for enterprise budgeting projects.

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Finance, or equivalent.
  • 5+ years in data integration, CDS view development, ETL/ELT, or data engineering.
  • Proficiency with CDS, SQL, and relational databases (HANA, SQL Server, Oracle).
  • Experience with SAC, S/4HANA, BW/4HANA, and data loading into models.
  • Must obtain Public Trust clearance and US citizenship.

Responsibilities

  • Design, build, and maintain ETL/ELT pipelines for budgeting data.
  • Analyze source data from systems like SAP S/4HANA and ERP ledgers.
  • Create data mappings; develop CDS views and SQL scripts.
  • Implement data quality checks and reconciliation processes.
  • Troubleshoot pipeline issues and optimize performance.
  • Collaborate with project teams and client SMEs.
  • Develop technical documentation and SOPs.

Skills

Data integration
ETL/ELT
CDS views
SQL
Data quality
Problem solving
Communication

Education

Bachelor’s degree in CS/IS/Finance or equivalent

Tools

SAP SAC
SAP HANA
SAP S/4HANA
SAP BW/4HANA
SAP Data Services
SAP BTP

Job description

SMX is seeking a Data Integration Specialist to design, develop, and maintain ETL/ELT pipelines connecting source financial systems to a new budgeting platform. This fully remote role requires US citizenship and Public Trust clearance, with travel <20%.

You will collaborate with SAP experts and business stakeholders, implement data quality controls, and document data flows to ensure secure, scalable data integration for enterprise budgeting projects.

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