Job title: CDP Data Technology Consultant
Company: EPAM Systems
Job description: We are seeking an experienced CDP Data Technology Consultant to make our team even stronger.We’re looking for an experienced Data Technology Consultant with strong business understanding of digital marketing and technical experience in building Customer Data Platforms (CDPs) for large enterprises.As a Data Technology Consultant, you are going to lead designs and oversee implementation of CDPs for the biggest companies in the world.This position requires strong technical, business and data background, experience in working with cross-functional teams in the international context.ResponsibilitiesCollaborate with senior executives (CDO, CTO, CIO) and their teams to shape the end-to-end vision of CDPs, define ROIs, make build vs buy decisionsLead enterprise level designs of CDPsOversee implementation of CDPs in alignment with program and projects cross-functional teamsEstablish and cultivate strong relationships with clientsContribute to evolution of CDP service offerings, participate in presale activitiesRequirementsAbility to work under uncertainty, great business acumen, problem-solving attitudeDigital marketing backgroundHands-on experience in design and implementation of custom and SaaS CDPs, knowledge of how to integrate SaaS CDPs into larger enterprise architectureKnowledge of Google Analytics, Adobe Analytics, CRMs (Salesforce, Microsoft Dynamics, etc.) and other relevant source systemsExperience with Customer MDM implementationExperience in doing technology evaluations (BigQuery, AWS Redshift, Databricks, etc.)Knowledge in exposing the data via APIs (either custom built or enterprise tools like Mulesoft and FastAPI, API in AWS, API endpoints in Azure)Knowledge of cloud data processing concepts, working in a multi-cloud environmentAbility to define to-be use-cases range from operational (transactional) data to analytics (BI) and data scienceData structure definition for various consumers, Salesforce Marketing Cloud, Sitecore and other CMS systems, Aquia, Email marketing tools like Mailchimp and proprietary apps with push message capabilitiesAbility to understand a broad set of input datasets via grouping and quantifying by the value of the datasets to answer essential business questionsBasic understanding of data lakes, data warehouses, lakehouse solutionsEnterprise architecture analysis: understanding of high-level architecture patterns for data ingesting (real time, on demand), storing, processing and publishing data (the candidate does not necessarily have to build the solution architecture but should be able to work with a technical Data Solution Architect to translate discovery results into technical blueprints)We offer/Benefits
Certain benefits and perks may be subject to eligibility requirements and may be available only after you have passed your probationary period.Why Choose UsRefer a FriendKnow someone who would be a great fit for this opportunity? Refer now
Expected salary:
Location: Praha
Job date: Wed, 16 Jul 2025 05:19:03 GMT
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