Data Architect

About the role

Merkle, a dentsu company, is looking for a Data Architect in Prague. You will provide thought leadership and drive the architecture of Customer Data Platforms, Enterprise Analytics, BI and Data Science solutions, delivering scalable implementations with cloud technologies (AWS, Azure, GCP) and modern data and BI platforms. You will act as the technical single point of contact for all stakeholders, including C-level executives.

Key responsibilities

• Translate business goals and use cases into technical solutions that deliver actionable insights for sales, finance, e-commerce, manufacturing/logistics, banking or CRM.
• Propose conceptual and logical designs for data components and large data integrations, and set architectural direction across a matrix of teams.
• Define governance for scalability, availability, fault tolerance and elasticity in line with enterprise architecture, security and infrastructure standards.
• Supervise and guide data engineers, data scientists and BI consultants so projects meet business requirements.
• Support pre-sales by proposing technical solutions and effort estimates, and promote a consistent delivery framework.

Required profile

• Bachelor's or Master's degree in a technology-related field (Engineering, Computer Science, IT).
• 3+ years designing and building data solutions, including large-scale data lakehouse or DWH solutions on Databricks, Snowflake or Microsoft Fabric, with Delta Lake and Apache Iceberg.
• Experience with data pipelines (ETL/ELT, APIs) in cloud tools such as dbt, Keboola or Airflow, and BI projects (Power BI, Tableau, Qlik).
• Knowledge of GenAI foundations (RAG, vector search, metadata and semantic layer) and data concepts such as data mesh, data lake, master data management and data governance.
• Solid data modeling (dimensional, Data Vault) and strong SQL skills.
• Good business acumen in domains such as sales, finance, e-commerce, banking or CRM.
• Architecture methodology tools (draw.io, Sparks EA, Confluence) and standards (Archimate, TOGAF).
• Preferred: proven Customer Data Platform or data lakehouse experience in AWS or Azure, and experience with Salesforce, Adobe or Google marketing and CRM solutions.

Required skills

• Cloud data platforms (AWS, Azure, GCP) and data lakehouse / DWH.
• Data pipelines (dbt, Airflow, Keboola) and BI tools (Power BI, Tableau, Qlik).
• CI/CD, Infrastructure as Code (Terraform) and programming in Python, Java, Scala or C#.
• Relational, NoSQL and graph databases.

What we offer

• Hybrid work: 1 day per week or 4 days per month in the office.
• Flexible working hours, 5 weeks of vacation and 3 extra wellness days.
• Dentsu Academy access, corporate mobile subscription, meal vouchers and cafeteria points.
• Team events, snacks and drinks, referral bonus, laptop and equipment.