Job
Description
As an experienced Integration Expert / Data Archiving Specialist, your role involves leading and delivering enterprise-level data integration, data sourcing, and data governance initiatives. You will work across operational and analytical environments to ensure compliance, data quality, and sustainability of analytics-ready data. Key Responsibilities: - Define optimal data sourcing and integration strategies with clear articulation of data requirements - Design and implement sustainable integration routines for ingesting, moving, and consolidating data from multiple sources - Partner with data governance, quality, and architecture teams to define best practices for data preparation and systemic cleansing - Deliver high-quality data packages for operational cutover, data quality improvements, and analytics/data science consumption - Lead and contribute to integration initiatives, oversee team members, and document integration processes and KDDs - Write, optimize, and execute SQL in accordance with enterprise standards - 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 and Anomalo - Experience working with operational and source systems like ServiceNow, Workday, and other enterprise applications - Expertise in 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 - 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, and 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 As an experienced Integration Expert / Data Archiving Specialist, your role involves leading and delivering enterprise-level data integration, data sourcing, and data governance initiatives. You will work across operational and analytical environments to ensure compliance, data quality, and sustainability of analytics-ready data. Key Responsibilities: - Define optimal data sourcing and integration strategies with clear articulation of data requirements - Design and implement sustainable integration routines for ingesting, moving, and consolidating data from multiple sources - Partner with data governance, quality, and architecture teams to define best practices for data preparation and systemic cleansing - Deliver high-quality data packages for operational cutover, data quality improvements, and analytics/data science consumption - Lead and contribute to integration initiatives, oversee team members, and document integration processes and KDDs - Write, optimize, and execute SQL in accordance with enterprise standards - 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 and Anomalo - Experience working with operational and source systems like ServiceNow, Workday, and other enterprise applications - Expertise in 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 - 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, and 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 complian
