This role drives the architecture of customer data platforms, enterprise analytics, BI, and data science solutions, delivering scalable implementations using the latest cloud technologies. It involves translating business goals into technical solutions, setting architectural vision, and applying effective governance methods for long-term scalability and fault tolerance.
Responsibilities
Provide thought leadership and drive architecture of Customer Data Platforms / Enterprise Analytics / BI and Data Science solutions to deliver scalable implementations using the latest cloud technologies in AWS/Azure/GCP and modern data & 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, including C-level executives
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
Promote an internal framework to ensure consistent & optimal delivery across projects
Requirements
Bachelor’s or Master’s Degree in a technology-related field (e.g. Engineering, Computer Science, IT, etc.)
3+ years of experience in the design and build of data solutions, a combination of relevant areas: Large-scale Data Lakehouse / DWH solutions on modern data platforms such as Databricks, Snowflake or Microsoft Fabric, incl. open table formats (Delta Lake, Apache Iceberg)
Data pipelines / ETL/ELT / APIs (data ingestion, processing, transformation and activation) development, preferably in cloud-based tools/infrastructure (e.g. dbt, Keboola, Airflow)
Business Intelligence projects (e.g. Power BI, Tableau, Qlik)
Data Science / Machine Learning oriented solutions, incl. awareness of MLOps practices
GenAI and AI-ready data foundations (e.g. RAG, vector search, metadata and semantic layer)
Understanding data concepts and patterns, such as data mesh, data lake, master data management, data governance, data quality, batch and real-time/streaming architectures
Solid knowledge of data modeling (conceptual/logical/physical, dimensional, Data Vault) and strong SQL skills
Millions of jobs, with real people getting hired every day
200,000+
New jobs added daily
7,000,000+
Verified job listings
1,000,000+
Tailored applications submitted
Good business acumen, experience with business domains, such as 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 the full software development lifecycle (CI/CD, Infrastructure as Code, e.g. Terraform), including development skills using programming languages like Python/Java/Scala/C# and relational/NoSQL/graph databases
Strong analytical and complex problem-solving skills
Strong technical leadership, mentorship and collaboration
Strong project management and organizational skills
Nice to have:
Proven experience with Customer Data Platform / Data Lake / Data Lakehouse implementations in AWS or Azure
Understanding of Data Science (ML) concepts from both business and technical perspectives
Experience with Marketing, E-commerce and CRM solutions like Salesforce (Marketing Cloud, CDP, Commerce, CRM), Adobe (AEM, Analytics) or Google (GA, BigQuery)
Benefits
5 weeks of vacation
2 Volunteering days
3 extra wellness days on top of vacation days
Mental Health First Aider and Employee Assistance program
Full access to Dentsu Academy, a global online learning platform
Dog-friendly office
Edenred meal vouchers and cafeteria points
Team events: company parties, breakfast, etc.
Snacks and drinks at the office
Referral bonus program
Laptop + equipment
Corporate mobile subscription
Important Details
Flexible working hours
Work format: hybrid, with an expectation of 1 day per week / 4 days per month in the office
About the Company
Merkle, a dentsu company, powers the experience economy by building apps, running CRM at scale, delivering technology architectures, and providing world-class data, identity, and insights solutions. Backed by dentsu's legacy of innovation and creativity, the company has spent over 35 years helping brands build loyalty, drive growth, and connect meaningfully with their audiences. It has been named a global “Leader” by top industry analyst firms in various categories, and operates in 145 countries with over 70,000 talented employees.
