Integration Expert

Job Title: Integration Expert / Data Archiving Specialist

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Experience:

Notice Period:

Role Overview

Integration Expert / Data Archiving Specialist

Key Responsibilities

• Data Sourcing:

  Define optimal data sourcing and integration strategies with clear articulation of data requirements

• Data Ingestion:

  Design and implement sustainable integration routines to ingest, move, and consolidate data from multiple sources

• Data Collaboration:

  Partner with data governance, quality, and architecture teams to define best practices for data preparation and systemic cleansing

• Data Product Delivery:

  Deliver high-quality data packages supporting:
• Operational cutover
• Data Quality (DQ) improvements
• Analytics and data science consumption

• Project Delivery:

  Lead and contribute to integration initiatives, oversee team members, and document integration processes and

  KDDs

• SQL Execution:

  Write, optimize, and execute SQL in accordance with enterprise standards

• Data Archiving:

  Support data lifecycle management, archival strategies, and historical data accessibility

Required Knowledge & Experience

• Strong experience in

  enterprise data integration and data archiving

• Hands-on knowledge of

  data governance and quality tools

  such as:

• Alation

• Anomalo

• Experience working with

  operational and source systems

  , including:

• ServiceNow

• Workday

• Other enterprise applications
• Expertise in multiple

  integration approaches

  , including:
• ETL
• Data virtualization
• Batch and near real-time processing
• Strong capabilities in

  data analysis, profiling, and discovery

• Expert-level understanding of

  data models and data structures

• Proficiency in

  SQL standards and performance optimization

Analytics, Reporting & Data Quality

• Experience creating

  dashboards and workflows

  using

  Power BI

  or similar tools
• Ability to generate

  analytics and insights in a Data Quality (DQ) context

• Strong profiling and anomaly detection skills using

  Anomalo

• Solid understanding of

  data change management

  , including:
• Data catalogs
• Business glossaries
• Data models

Soft Skills & Stakeholder Management

• Strong

  persuasion, influencing, and communication skills

  at senior stakeholder level
• Proven experience working across

  operational systems and analytics / data science environments

• Ability to translate complex data concepts into business-friendly insights

Good to Have

• Experience with data archiving frameworks and retention policies
• Exposure to cloud-based data platforms
• Knowledge of regulatory and compliance-driven data governance