Data Solutions Architect

dentsuaegis; Lisboa; Presencial; EUR 85 000 - 130 000; Tempo integral

Resumo da oferta

Merkle, a dentsu company, seeks a senior Enterprise Analytics/ Data Science Architect to lead scalable data solutions on cloud platforms, translating business goals into actionable insights and ensuring governance and reliability across projects.

You will guide cross-functional teams, shape data lake/warehouse architectures, and drive DevOps/DataOps automation while collaborating with stakeholders in sales, finance, e-commerce, and CRM to deliver impact.

Qualificações

• Bachelor's or Master's in a technology-related field (e.g., Engineering, Computer Science, IT).
• 3+ years of design and build experience for data solutions.
• Experience with Data Lake / Data Warehouse architectures.
• BI projects using PowerBI/Tableau/Qlik Sense/Keboola/Tibco Spotfire.
• Data Science (ML) oriented solutions.
• Knowledge of data concepts (Data Lake, MDM, lambda, streaming).
• Strong business acumen in sales, finance, e-commerce, manufacturing/logistics, banking or CRM.
• Familiarity with architecture methodologies and diagramming tools; standards like ArchiMate/TOGAF.
• Experience across CI/CD and programming languages (Python/Java/Scala) and SQL/NoSQL databases.
• Strong analytical, leadership, and collaboration skills.

Responsabilidades

• Lead architecture of Enterprise Analytics / BI and Data Science solutions.
• Translate business goals into technical solutions to deliver actionable insights.
• Set architectural vision across teams and design data components with scalable data integrations.
• Ensure governance, high availability, fault tolerance, and elasticity in line with standards.
• Guide implementation teams to deliver per requirements and timelines.
• Assist pre-sales with technical solutions and effort estimates.
• Maintain frameworks for consistent delivery across projects.
• Oversee DevOps / DataOps automation of development/testing/deployment processes.

Conhecimentos

Architectural leadership

Cloud architecture

Data governance

DevOps / DataOps

Leadership & mentorship

Stakeholder collaboration

Formação académica

Bachelor's or Master's in a technology-related field

Ferramentas

PowerBI

Tableau

Qlik Sense

Keboola

Tibco Spotfire

Python/Java/Scala

CI/CD tooling

Descrição da oferta de emprego

About Merkle

For more than 35 years Merkle , a dentsu company we have put people at the heart of our approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and our performance, Merkle delivers holistic experience that promotes growth, engagement, and loyalty. Merkle's expertise has earned recognition as a "Leader" by top industry analyst firms, in categories such as digital transformation, commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. With more than 16,000 employees, Merkle operate in 30+ countries throughout the Americas, EMEA, and APAC. For more information, visit www.merkle.com .

We have our offices in Portugal, Czech Republic and Serbia.

Job Description

• 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

Qualifications

• 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

Preferred Skills

• Proven experience with Data Lake / Datalakehouse implementations in AWS or Azure, using MS Azure (DataBricks, Data Factory, Data Lake, Cosmos DB, Event Hub, PowerBI, ..) or AWS (Glue, EC2, EMR, RDS, Redshift, Sagemaker, ...) cloud services
• Understanding of Data Science (ML) concepts from both business and technical perspective
• Experience with ERP solutions like SAP, NetSuite
• 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?

Innovation at As part of dentsu's global network, Merkle pushes the boundaries of customer experience, integrating creativity, technology, and data to drive real-world impact. For over 35 years, we've been innovating to meet the changing needs of our clients.

Global Reach with Local Expertise: With over 16,000 employees across 30+ countries, and part of a 70,000 employees network at dentsu, Merkle blends global insights with a deep understanding of local markets to deliver personalized, effective solutions.

Collaborative Culture: At Merkle, your ideas and contributions truly matter. You'll join a team that fosters innovation, collaboration, and creative problem-solving. Together, we work on impactful international projects, making meaningful connections every step of the way.

What's in It for You?

Global Perspective: As part of a dentsu company, collaborate with over 70,000 talented colleagues across 145 c