Merkle
DataSolutionsArchitect
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Solutions Architect at Merkle. Skills: Data architecture, Data solutions, Cloud technologies, Data modelling. Assist design data architecture. Assist implementation data architecture”
Industry & Context.
Actionable insights; Scalable implementations; High availability; Fault tolerance; Solution elasticity
What They're Looking For.
Must Have
3+ years experience design build data solutions, 5+ years Entity Relationship Models, 5+ years Data Modeling techniques, 5+ years Data Modeling Methodologies, Proficient architecture methodologies, Proficient diagraming tools, Proficient architecture standards
Nice to Have
Master's Degree, SQL knowledge, Full software development lifecycle experience, Python development skills, Java development skills, Scala development skills, C++ development skills, Relational databases experience, NoSQL databases experience, Data Modeling tools experience, Metadata management knowledge, Agile methodologies experience
What You'll Do.
Assist design data architecture
Assist implementation data architecture
Work closely business stakeholders
Work closely business analysts
Work closely data engineers
Implement data models
Provide thought leadership
Drive architecture enterprise analytics platforms
Drive architecture customer platforms
Drive architecture other solutions
Deliver scalable implementations
Understand respective requirements
Translate business goals
Deliver actionable insights
Become technical SPoC
Help business analysts definition specifications
Help data analysts definition specifications
Apply governance methods
Provide supervision implementation team
Provide guidance implementation team
Ensure project implemented
Propose technical solution
How You'll Work.
Team & Collaboration
Business stakeholders; Business analysts; Data engineers; Implementation team; Data scientists; BI consultants; C-level executives
Process & Methodology
Project management, Organizational skills, Agile methodologies, SCRUM, SAFE
Full Job Description
**Job Description:** **We Dream. We Do. We Deliver.** At Merkle, a dentsu company, we power the experience economy. Whether we’re building the next great app, running CRM at scale for global brands, delivering technology architectures that support millions of users, or providing world-class data, identity, and insights solutions, it’s all in the name of crafting experiences that set brands apart from the competition. Backed by dentsu's legacy of innovation and creativity originating in Japan, we’ve spent over 35 years helping brands build loyalty, drive growth, and connect meaningfully with their audiences. We’ve been named a global “Leader” by top industry analyst firms in categories as wide-ranging as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. **We are looking for someone able to:** * Assist in the design and implementation of data architecture. As data architect you will work closely with business stakeholders, business analysts and data engineers to implement the different levels of data models. * Provide thought leadership and drive architecture of enterprise analytics platforms, customer platforms, and other solutions to deliver scalable implementations using the latest cloud technologies in AWS/Azure/GCP, BI platforms like Fabric and Snowflake. * Work with various data stakeholders to understand the respective requirements in terms of functionality and the use of data concepts * Translate 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, including C-level executives. * Helping business/data analysts in the definition of specifications and define data mappings * Apply effective governance methods for long-term scalability,
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