Job Description
We are seeking a highly skilled and experienced Data Modeller/architect with deep expertise in the digital media ecosystem, especially across media buying, activation, and campaign performance analytics. This role will be pivotal in designing scalable, reusable, and business-aligned data models that support marketing effectiveness, media spend optimization, and cross-channel activation insights. Your role This role is pivotal in designing and maintaining robust data models that support content analytics, audience insights, advertising performance, and digital transformation initiatives. You will collaborate with data engineers, analysts, and business stakeholders to translate complex business requirements into scalable, efficient, and high-performing data structures.ResponsibilitiesData Modelling & ArchitectureDesign conceptual, logical, and physical data models for digital media and marketing domains.Translate media buying and activation workflows into structured data assets.Collaborate with data engineers to implement models in cloud platforms (e.g., Azure, Databricks).Domain ExpertiseUnderstand and model data from platforms such as DV, Meta, Amazon DSP, TikTok, IAS, Innovid, and others.Integrate campaign metadata, audience segments, impressions, clicks, conversions, and spend data.Align models with taxonomy standards and media KPIs.Stakeholder CollaborationWork closely with head of architecture, Media teams, Activation teams and analytics leads to capture requirements.Support data governance, cataloguing, and lifecycle management initiatives.Optimization & ReusabilityEnsure models support modularity, composability, and reusability across campaigns and markets.Enable downstream Media use cases such as MMM, MTA, and real-time performance dashboards.Required 7+ years of experience in Data ModellerBroader understanding of a CPG or Consumer healthcare industry and functional understanding of data from one or more business functions.Functional familiarity with one or more key master domains such as product, customer, vendor, finance, people, location; and challenges typically involved in managing an enterprise view of the domain.Functional familiarity with one or more key transactional data domains such as sales, consumption, or other transactional data for a business function and the challenges typically involved in managing an enterprise view of the domain.Demonstrable experience in creating and managing an enterprise data architecture over a data platform architecture; and detailing out data flows between systems in the context of the data architectureStrong demonstrable experience in data design and modelling from conceptual, logical to physical data models and proficiency is using one or more modelling toolsStrong understanding of media buying platforms, ad servers, and campaign activation tools.Proficiency in SQL, data warehousing concepts, and cloud data platforms.Experience with data governance, metadata management, and data quality frameworks.Infosys is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.