Strategic Data Architect & Tech Lead

Siemens Energy; Amadora; Presencial; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Meal allowance

Health insurance coverage

Remote work within the country

Pontes days off

Resumo da oferta

Siemens Energy is seeking a seasoned Data Architect to shape and govern our data architecture across the Grid Technologies division. You will design scalable data models, oversee data flows, and drive real-time data processing initiatives, aligning with enterprise standards.

You will lead complex data programs with minimal oversight, mentor data professionals, and ensure robust integration with cloud platforms (AWS/Azure/GCP) and governance frameworks like TOGAF.

Qualificações

• Bachelor's degree in Computer Science, IT, Engineering or related field.
• Extensive senior data-focused experience as Data/Solutions Architect.
• Proven ability to manage large, autonomous data projects.
• Advanced capabilities in data modeling, warehousing, ETL/ELT, and governance.
• Strong IT architecture knowledge including TOGAF.

Responsabilidades

• Develop and govern the overall data architecture strategy and roadmaps.
• Design architecture for data warehouses, data lakes, and real-time data platforms.
• Assess and adopt innovative data technologies for the Grid Technologies environment.
• Establish data architecture standards, security, and regulatory compliance.
• Lead large-scale data initiatives and ensure seamless system integration.
• Provide mentorship to data professionals and stakeholders.

Conhecimentos

Data architecture

Solution architecture

Data governance

Cloud data platforms

ETL/ELT design

TOGAF

Formação académica

Bachelor's degree in Computer Science/IT/Engineering

Ferramentas

AWS

Azure

GCP

SQL/NoSQL

Data warehousing

Descrição da oferta de emprego

Siemens Energy is seeking a seasoned Data Architect to shape and govern our data architecture across the Grid Technologies division. You will design scalable data models, oversee data flows, and drive real-time data processing initiatives, aligning with enterprise standards.

You will lead complex data programs with minimal oversight, mentor data professionals, and ensure robust integration with cloud platforms (AWS/Azure/GCP) and governance frameworks like TOGAF.