About the role

Data Solutions Architect leading cloud-based analytics and BI solutions at Merkle. Driving technical designs and ensuring governance for effective data management in an enterprise setting.

Responsibilities

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 platforms
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.
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 requirements
Support pre-sales by proposing a technical solution and effort estimates
Maintain an internal framework to ensure consistent & optimal delivery across projects.
Ensure full DevOps / DataOps automation of continuous development/test/deployment processes.

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) solutions
Big data pipelines / ETL / APIs (data ingestion, processing, transformation and activation) development, preferably in cloud-based tools/infrastructure
Business Intelligence projects, using BI tools like PowerBI, Tableau, Qlick Sense, Keboola, Tibco Spotfire …
Data Science (Machine Learning) oriented solutions
Understanding 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 areas
Proficient 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 databases
Strong analytical and complex problem-solving skills
Strong technical leadership, mentorship and collaboration
Strong project management and organizational skills.

Global Perspective: As part of a dentsu company, collaborate with over 70,000 talented colleagues across 145 countries to drive innovation on a global scale.
Flexibility & Balance: Enjoy hybrid work models, adaptable hours, and home office options.
Inclusive & Supportive Culture: We celebrate diversity and foster a respectful workplace where every team member’s unique perspective is valued, and everyone is welcome.
Well-balanced reward package: We offer competitive salaries, volunteer days, wellness days, modern offices, and a multi-cultural environment that fosters creativity and innovation.
Innovation-Driven Work: Contribute to projects that are reshaping industries and driving transformation with next-generation technologies and strategies.
Purpose-Driven Culture: Be part of an organization that fosters sustainable growth for brands, people, and society—where every contribution makes a meaningful impact.
Growth Opportunities: Expand your skills through training, mentorship, and data-driven projects that reshape customer experience and business outcomes.