Merkle

DataSolutionsArchitect

€4000–6500k ~AI est. Belgrade, Serbia FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Solutions Architect at Merkle. Skills: Data architecture, Data solutions, Cloud technologies, Data modelling. Assist design data architecture. Assist implementation data architecture”

Industry & Context.

Problems you'll solve

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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