Data Architect

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.

Job Description

• 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.

Qualifications

• 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

• Having a 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

Preferred Skills

• 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)

Why choose Merkle?

Global Reach with Local Expertise: Join a network that spans 145 countries, with over 70,000 talented employees. Collaborate with bright minds worldwide and gain insights from diverse industries and markets.

Innovation at Our Core: For over 120 years, we have been pushing boundaries to connect brands with their audiences through cutting-edge technology, creativity, and transformative solutions.

Commitment to Impact: We focus on driving meaningful outcomes for our clients and their communities, whether through increasing revenue, influencing behavior change, or fostering positive organizational culture.

Collaborative Network: Work alongside six global brands all united in delivering highly integrated and scaled transformation solutions.

Your benefits:

• 🌴 5 weeks of vacation
• 🤝 2 Volunteering days to share the kindness of your heart with others
• 💖 Mental Health: Benefit from 3 extra wellness days on top of your vacation days and a Mental Health First Aider and Employee Assistance program to support your well-being
• ⏳ Flexible working hours
• ⏰ Hybrid working: We combine flexibility with in-person collaboration, with an expectation of 1 day per week / 4 days per month in the office
• 🎓 Full access to Dentsu Academy, our 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

Ready to join the team? Shape your unique career and reach your full potential. Apply now and join us in transforming the future together.

*At dentsu, Diversity, Equity, and Inclusion (DEI) is central to our vision: "To be at the forefront of people-centered transformations that shape society."

We cherish the unique talents and perspectives of all individuals, welcoming applicants regardless of gender, gender identity, nationality, religion, ethnicity, cultural background, sexual orientation, age, physical or mental ability. By embracing diverse perspectives, we create meaningful change and sustainable growth for our people, clients, and society. Our hiring decisions are guided by qualifications and role-specific requirements, ensuring a workplace free from discrimination and harassment.

#LI-MERKLE

Location:

Prague

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent