Job Description:
We are looking forData Solutions Architect to join our Talent Community.This is not a current open role.
Please apply to this ad if you would like to be kept in the loop of our future openings.
Job Description:
Provide thought leadership and drive architecture of Enterprise Analytics / BI and Data Science solutions to deliver scalable implementations using the latest cloud technologies in AWS/Azure and 3rd party BI platformsTranslate business goals and use cases into technical solutions to deliver actionable insights for various business processes, especially in the area of sales, finance, e-commerce, manufacturing/logistics, banking or CRM.
Become the technical SPoC for all stakeholders.Set architectural vision and direction across a matrix of teams.
Propose a conceptual/logical design for various data components and large volumes of data integrations.Apply effective governance methods for long-term scalability, high availability, fault tolerance, and solution elasticity in alignment with enterprise architecture, security and infrastructure guidelines and standards.Provide supervision and guidance to the implementation team (data engineers, data scientists, BI consultants, ..) to ensure the project is implemented as per business requirementsSupport pre-sales by proposing a technical solution and effort estimatesMaintain an internal framework to ensure consistent & optimal delivery across projects.Ensure full DevOps / DataOps automation of continuous development/test/deployment processesQualifications:
Bachelor’s or Master’s Degree in a technology-related field (e.g. Engineering, Computer Science, IT, etc.)3+ years experience in design and build of data solutions, a combination of relevant areas:Large-scale Data Lake / Datawarehouse (DWH) solutionsBig data pipelines / ETL / APIs (data ingestion, processing, transformation and activation) development, preferably in cloud-based tools/infrastructureBusiness Intelligence projects, using BI tools like PowerBI, Tableau, Qlick Sense, Keboola, Tibco Spotfire …Data Science (Machine Learning) oriented solutionsUnderstanding data concepts and patterns (Data Lake, Master Data Management, data quality, lambda architectures, streaming processing)Having a good business acumen, especially in sales, finance, e-commerce, manufacturing/logistics, banking or CRM areasProficient in architecture methodologies and tools like diagraming (draw.io, Sparks EA, Confluence) and standards (Archimate, TOGAF)Experience with full software development lifecycle (CI/CD), including development skills using programming languages like Python/Java/Scala/C++ and relational/NoSQL databasesStrong analytical and complex problem-solving skillsStrong technical leadership, mentorship and collaborationStrong project management and organizational skillsPreferred Skills:
Proven experience with Data Lake / Datalakehouse implementations in AWS or Azure, using MS Azure (DataBricks, Data Factory, Data Lake, Cosmos DB, Event Hub, PowerBI, ..) or AWS (Glue, EC2, EMR, RDS, Redshift, Sagemaker, …) cloud servicesUnderstanding of Data Science (ML) concepts from both business and technical perspectiveExperience with ERP solutions like SAP, NetSuiteExperience with Marketing, E-commerce and CRM solutions like Salesforce (Marketing Cloud, CDP, Commerce, CRM), Adobe (AEM, Analytics) or Google (GA, BigQuery)With us, you will become part of:
An international, amazing team, where you can gain new/relevant experienceA dynamic and supportive environment where you will never happen to fall into a routinePossibility to grow, in accordance with your skills and interests connected with future developmentStart-up agile atmosphereFriendly international team of creative mindsWe, obviously, offer even more:
⛺ 5 weeks of vacation + 3 wellness days
❤️ 2 Volunteering days to share the kindness of your heart with others
⏰ Flexible working hours and home office
🎯 Fully covered certifications in Salesforce, Adobe, Microsoft, etc.
🎓 Full access to Dentsu Academy, on-site learning sessions
🐶 Pet friendly offices
💌 Edenred meal and cafeteria points
🍹 Team events: company parties, monthly breakfasts, and pub quizzes
🥪 Snacks, and drinks at the office
💸 Referral bonus programme
💻 Laptop + equipment
📞 Corporate mobile phone subscription
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