Cloud Data Solutions Architect | BI & Data Science Lead

dentsu; Lisboa; Híbrido; EUR 70 000 - 110 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work models

Global opportunities

Multicultural environment

Resumo da oferta

Merkle, a dentsu company, is seeking a senior architect to drive Enterprise Analytics and Data Science initiatives. You will shape data architectures for scalable cloud deployments and act as the technical SPoC for stakeholders across sales, finance and CRM.

You will guide an cross-functional team of data engineers and scientists, ensure governance and DevOps automation, and contribute to pre-sales with technical estimates, all while aligning with enterprise security standards.

Qualificações

• Bachelor’s or Master’s degree in a technology-related field.
• 3+ years designing and building enterprise data solutions.
• Experience with data lakes/warehouses and cloud-based ETL pipelines.
• Proficient in BI tools (PowerBI, Tableau, Qlik Sense, etc.).
• Strong data concepts, lambda architectures and streaming processing.

Responsabilidades

• Lead architecture of Enterprise Analytics / BI and Data Science solutions.
• Translate goals into technical solutions delivering actionable insights.
• Set architectural vision across multiple teams and data components.
• Govern / ensure scalable, high-availability solutions.
• Guide implementation teams and support pre-sales with technical estimates.
• Automate DevOps / DataOps for CI/CD pipelines.

Conhecimentos

Enterprise Analytics

Data Architecture

Cloud Platforms

Python

Java

Scala

C++

CI/CD

Data Governance

Leadership

DataOps

Formação académica

Bachelor’s or Master’s Degree in a technology-related field

Ferramentas

Python

Java

Scala

SQL/NoSQL

CI/CD tools

draw.io

Confluence

TOGAF/Archimate

Azure/AWS

Databricks

Descrição da oferta de emprego

Merkle, a dentsu company, is seeking a senior architect to drive Enterprise Analytics and Data Science initiatives. You will shape data architectures for scalable cloud deployments and act as the technical SPoC for stakeholders across sales, finance and CRM.

You will guide an cross-functional team of data engineers and scientists, ensure governance and DevOps automation, and contribute to pre-sales with technical estimates, all while aligning with enterprise security standards.