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Solution Architect Informatica BDM & PowerExchange

Job in Jeddah, Saudi Arabia
Listing for: Client of Salt
Full Time position
Listed on 2026-06-24
Job specializations:
  • Software Development
    Data Engineering, SQL Developer
Salary/Wage Range or Industry Benchmark: 279000 - 390600 SAR Yearly SAR 279000.00 390600.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Design and implement Informatica-based ETL, ELT and CDC architectures.
  • Lead Power Exchange-based ingestion and data migration initiatives.
  • Build scalable batch and real‑time data pipelines.
  • Drive migration remediation, reconciliation and data quality activities.
  • Optimize platform performance and ensure governance compliance.
  • Collaborate with business architecture and reporting teams to deliver end‑to‑end data solutions.
  • Produce architecture design and source‑to‑target mapping documentation.
Qualifications
  • 15‑20 years overall IT experience; 8+ years working with Informatica BDM/DEI and Big Data platforms; 5+ years in solution architecture or technical leadership roles.
  • Banking/BFSI experience preferred.
  • Experience delivering large‑scale data migration and modernization programs.
  • Strong expertise in Informatica Data Engineering Integration (BDM/DEI).
  • Experience designing scalable ETL/ELT frameworks and reusable components.
  • Knowledge of Spark‑based processing and pushdown optimization.
  • Experience with batch and near real‑time data ingestion.
  • Hands‑on experience with Informatica Power Exchange and Change Data Capture (CDC).
  • Designing real‑time and incremental data ingestion from Oracle, PostgreSQL and other RDBMS platforms.
  • Strong understanding of Data Lakehouse architectures and Medallion (Bronze/Silver/Gold) design.
  • Experience with Spark, Hadoop, Hive and large‑scale data processing.
  • Familiarity with Iceberg, Hudi or Delta Lake preferred.
  • Experience designing historical and incremental migration pipelines.
  • Ability to assess legacy environments and define migration, remediation and optimization strategies.
  • Strong data modeling knowledge (ODS, DWH, Dimensional Models).
  • Experience with data quality, lineage, security and governance frameworks.
  • Expertise in performance tuning, partitioning and high‑volume data processing.
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