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Data Science4 days agoHybrid

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Data Solutions Architect

data architecturedata modelingcloudAWSAzureGCPBIPowerBITableauSnowflakeFabricETLdata lakedata warehouseCRMmachine learningAISQLNoSQLPythonJavaScalaC++CI/CDAgileSCRUMTOGAFArchimatemetadata managementtechnical leadershipproject managementFrench

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Senior

Years experience

5-10

Location

Prague, Czech Republic

Full job description

The role is for a Data Architect responsible for designing and implementing data architecture. The candidate will collaborate with business stakeholders, analysts, and data engineers to develop data models and scalable enterprise analytics and customer platforms using cloud technologies (AWS, Azure, GCP) and BI tools (Fabric, Snowflake). Responsibilities include translating business goals into technical solutions for sales, finance, e-commerce, manufacturing/logistics, banking, or CRM, serving as a technical point of contact for stakeholders including C-level executives, defining data specifications and mappings, applying governance for scalability and reliability, supervising implementation teams, and supporting pre-sales technical proposals. Requirements include a Bachelor’s or Master’s degree in a technology-related field, 3+ years in data solution design and build, experience with CRM data modeling, large-scale data lakes/data warehouses, big data pipelines/ETL/APIs preferably in cloud environments, BI projects with PowerBI/Tableau, machine learning/AI solutions, 5+ years with entity relationship models and data modeling methodologies, understanding of data concepts (Data Mesh, Data Lake, MDM, data quality, lambda architectures, streaming), strong business acumen in relevant industries, proficiency in architecture methodologies and tools (draw.io, Sparks EA, Confluence, Archimate, TOGAF), technical leadership, project management skills, and preferred skills including SQL, software development lifecycle (CI/CD), programming (Python, Java, Scala, C++), data modeling tools, metadata management, Agile methodologies (SCRUM, SAFE), and French language proficiency. The position offers hybrid work options, competitive salary, volunteer and wellness days, modern offices, a multicultural environment, training, mentorship, and global collaboration opportunities.

What you'll do

  • Assist in the design and implementation of data architecture
  • Work closely with business stakeholders, business analysts and data engineers to implement different levels of data models
  • Provide thought leadership and drive architecture of enterprise analytics platforms, customer platforms, and other scalable solutions using cloud technologies
  • Work with data stakeholders to understand requirements and use of data concepts
  • Translate business goals and use cases into technical solutions delivering actionable insights in sales, finance, e-commerce, manufacturing/logistics, banking or CRM
  • Serve as technical single point of contact (SPoC) for all stakeholders including C-level executives
  • Help business/data analysts define specifications and data mappings
  • Apply governance methods for scalability, high availability, fault tolerance, and elasticity aligned with enterprise architecture, security and infrastructure standards
  • Provide supervision and guidance to implementation teams (data engineers, data scientists, BI consultants)
  • Support pre-sales by proposing technical solutions and effort estimates

Requirements

  • Bachelor’s or Master’s Degree in a technology-related field (Engineering, Computer Science, IT, etc.)
  • 3+ years experience in design and build of data solutions
  • Combination of relevant areas: CRM data modelling, Large-scale Data Lake / Datawarehouse (DWH) solutions, Big data pipelines / ETL / APIs development preferably in cloud-based tools/infrastructure
  • Experience with Business Intelligence projects using BI tools like PowerBI, Tableau
  • Experience with Machine Learning and AI oriented solutions
  • Minimum of 5 years experience with Entity Relationship Models, Data Modeling techniques and Methodologies
  • Understanding data concepts and patterns (Data Mesh, Data Lake, Master Data Management, data quality, lambda architectures, streaming processing)
  • Good business acumen 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)
  • Strong technical leadership, mentorship and collaboration skills
  • Strong project management and organizational skills
  • Preferred: Proven track record handling large Architecture Review Board discussions
  • Strong knowledge of SQL
  • Experience with full software development lifecycle (CI/CD)
  • Development skills using programming languages like Python, Java, Scala, C++
  • Experience with relational and NoSQL databases
  • Experience in Data Modeling tools such as ER/Studio, Orbus, Oracle Data Modeler, Erwin Modeler, Power Designer or similar
  • Good knowledge of metadata management
  • Experience with Agile methodologies (SCRUM, SAFE)
  • Written and spoken French

Tech stack

AWSAzureGCPFabricSnowflakePowerBITableauPythonJavaScalaC++SQLNoSQLER/StudioOrbusOracle Data ModelerErwin ModelerPower Designerdraw.ioSparks EAConfluenceArchimateTOGAFCI/CDSCRUMSAFE

Benefits

Hybrid work models with adaptable hours and home office optionsCompetitive salariesVolunteer daysWellness daysModern officesMulti-cultural environmentTraining and mentorship opportunitiesGlobal collaboration with over 70,000 colleagues across 145 countriesInclusive and supportive cultureGrowth opportunities within dentsu network

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