Key Responsibilities
Skills, Experience and Competencies
- Design and deliver modern data platform solutions using Informatica across data integration, ingestion, quality, governance, lineage and master/reference data capabilities.
- Translate business and reporting requirements into scalable data designs, reusable integration patterns and implementation roadmaps aligned to IP&SI delivery methods.
- Define solution architecture, data flows, mappings, transformation logic, controls and non-functional requirements for enterprise data programs.
- Lead or contribute to data platform modernisation initiatives including migration from legacy warehouses and siloed data environments to cloud-based, governed platforms.
- Implement and optimise Informatica services for data ingestion, ETL/ELT, data quality, metadata management, catalogue, lineage and governance workflows.
- Work closely with architects, engineers, analysts, testers, PMO and client stakeholders to ensure requirements traceability, delivery quality and operational readiness.
- Embed security, privacy, access controls and auditability into data solutions in line with governance and compliance expectations.
- Support estimation, planning, design assurance, testing, deployment, hypercare and continuous improvement activities across the delivery lifecycle.
- Contribute to reusable assets, accelerators, standards and reference patterns that improve consistency, speed and quality across the MDP practice.
Technical Skills
- Hands-on experience with Informatica products relevant to enterprise data platforms, such as Intelligent Data Management Cloud (IDMC), PowerCenter, Data Quality, Data Governance and Catalog, Master Data Management, Cloud Data Integration, Cloud Application Integration and Metadata Command Center.
- Strong understanding of modern data platform concepts including cloud-native architecture, data lakes/lakehouse patterns, batch and real-time ingestion, data warehousing and analytics enablement.
- Experience designing source-to-target mappings, transformation rules, reusable pipelines, data quality rules, lineage and governance controls.
- Knowledge of data architecture, modelling, metadata management, master/reference data, data cataloguing and data lifecycle management.
- Proficiency in SQL and strong understanding of relational, semi-structured and unstructured data processing patterns.
- Experience integrating enterprise platforms and cloud ecosystems, including data sources such as ERP, CRM, HCM, SaaS and operational systems.
- Working knowledge of DevOps, CI/CD, infrastructure-as-code and controlled release practices for data platform delivery.
- Understanding of data security, privacy, access controls, auditability and regulatory considerations in enterprise data solutions.
- Experience with cloud platforms and analytics ecosystems such as Microsoft Azure, Databricks, Snowflake, Microsoft Fabric or similar is advantageous.
- 6+ years in data integration, ETL/ELT, data quality or data platform implementation, with practical experience delivering Informatica-based workstreams in project environments.
- Able to work across requirements gathering, detailed design, build, testing, deployment and stakeholder collaboration with growing ownership of deliverables and solution quality.
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