Position Overview
The Informatica Architect / Consultant / Developer role sits within the Modern Data Platform (MDP) domain and is central to delivering enterprise-grade data transformation outcomes for our clients. This role supports the design, build and evolution of governed, scalable and insight-ready data platforms, helping organisations move from fragmented and low-trust data environments to modern ecosystems that improve decision quality, strengthen governance and accelerate value realisation
.
Success in this role requires a combination of strong Informatica capability, disciplined delivery execution and the ability to engage credibly with both technical and business stakeholders. Working across architecture, engineering and program teams, you will help shape practical, fit-for-purpose solutions that connect trusted data to strategic outcomes, support major transformation initiatives and enable clients to operate with greater confidence, efficiency and future readines
s.
Key Responsibilit
iesSkills, Experience and Competenc
- iesDesign and deliver modern data platform solutions using Informatica across data integration, ingestion, quality, governance, lineage and master/reference data capabiliti
- es.Translate business and reporting requirements into scalable data designs, reusable integration patterns and implementation roadmaps aligned to IP&SI delivery metho
- ds.Define solution architecture, data flows, mappings, transformation logic, controls and non-functional requirements for enterprise data progra
- ms.Lead or contribute to data platform modernisation initiatives including migration from legacy warehouses and siloed data environments to cloud-based, governed platfor
- ms.Implement and optimise Informatica services for data ingestion, ETL/ELT, data quality, metadata management, catalogue, lineage and governance workflo
- ws.Work closely with architects, engineers, analysts, testers, PMO and client stakeholders to ensure requirements traceability, delivery quality and operational readine
- ss.Embed security, privacy, access controls and auditability into data solutions in line with governance and compliance expectatio
- ns.Support estimation, planning, design assurance, testing, deployment, hypercare and continuous improvement activities across the delivery lifecyc
- le.Contribute to reusable assets, accelerators, standards and reference patterns that improve consistency, speed and quality across the MDP practi
ce.
Technical Sk
- illsHands-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 Cen
- ter.Strong understanding of modern data platform concepts including cloud-native architecture, data lakes/lakehouse patterns, batch and real-time ingestion, data warehousing and analytics enablem
- ent.Experience designing source-to-target mappings, transformation rules, reusable pipelines, data quality rules, lineage and governance contr
- ols.Knowledge of data architecture, modelling, metadata management, master/reference data, data cataloguing and data lifecycle managem
- ent.Proficiency in SQL and strong understanding of relational, semi-structured and unstructured data processing patte
- rns.Experience integrating enterprise platforms and cloud ecosystems, including data sources such as ERP, CRM, HCM, SaaS and operational syst
- ems.Working knowledge of DevOps, CI/CD, infrastructure-as-code and controlled release practices for data platform deliv
- ery.Understanding of data security, privacy, access controls, auditability and regulatory considerations in enterprise data soluti
- ons.Experience with cloud platforms and analytics ecosystems such as Microsoft Azure, Databricks, Snowflake, Microsoft Fabric or similar is advantage
ous.
Compet
- enciesData product mindset, treating data assets, quality controls, lineage and governance outputs as strategic products with clear ownership, consumers, standards and lifecycle manag
- ement.Business-to-technical translation and collaboration, working with stakeholders and delivery teams to shape requirements and convert them into practical Informatica-enabled solution designs and delivery
- plans.Governance and security by design, embedding quality, privacy, access, lineage, metadata and compliance requirements into the data solution from the o
- utset.Strategic problem solving, able to assess complex data challenges, identify practical solution pathways and balance business outcomes, technical quality and delivery constr
- aints.Stakeholder influence and communication, with the ability to build credibility, align diverse teams and communicate data concepts, risks and decisions clearly to both business and technical audi
- ences.Continuous improvement and delivery discipline, applying standards, lessons learned and reusable assets to improve quality, reduce rework and strengthen consistency across engage
ments.
Qualifications and Certifi
- cationsBachelor's degree in Information Technology, Computer Science, Engineering, Information Systems, Data Analytics or a related disc
- ipline.Relevant Informatica certifications are highly regarded, particularly across IDMC, PowerCenter, Data Quality, MDM or Data Governance pr
- oducts.Cloud platform certifications in Microsoft Azure, Databricks, Snowflake or related technologies are advant
- ageous.Agile, DevOps, data governance or architecture certifications are beneficial but not man
datory.
What Success Lo
- oks LikeData integration, quality and governance solutions are delivered to a high standard, with clear traceability from requirements through to production o
- utcomes.Business and technical stakeholders have confidence in the quality, lineage, usability and control of critical data
- assets.Reusable patterns, standards and accelerators are applied to reduce delivery risk, improve speed to value and support scalable impleme
- ntation.Solutions are secure, supportable and aligned to governance, compliance and operational readiness expec
- tations.The role contributes to stronger client outcomes by connecting trusted data, improving decision-making and enabling AI-ready, modern ope
rations.
