Principal Solution Architect Porto

Principal Solution Architect
Porto
Porto, Porto District, Portugal

Principal Solution Architect

About the Role

Location: Portugal, Porto

Country/Region: Portugal

State/Province/County: Lisbon

City: Lisbon

Country/Region: Serbia

State/Province/County: Belgrade

City: Novi Belgrade

Country/Region: Croatia

State/Province/County: City of Zagreb

City: Zagreb

Company: Siemens Energy Unipessoal Lda.

Organization: EVP Global Functions

Business Unit: Enterprise Data & Advanced Analytics

Full / Part time: Full-time

Experience Level: Experienced Professional

A Snapshot of your Day

Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Enterprise Data & Advanced Analytics organization creates and enables Data and AI-driven solutions and the corresponding governance and platform to grow and optimize the Siemens Energy businesses and operations.

Given the scale of the challenge, we need many types of perspectives to help reimagine the future. Our team is looking for innovative, enthusiastic, and versatile data, digital, and AI professionals that will drive us forward on this exciting venture.

The Data Strategy & Innovation tower has the responsibility of developing and delivering the enterprise data and AI strategy to align with business priorities and outcomes while pushing R&D efforts to advance
- edge analytics capabilities. We are also responsible for managing a portfolio of investments, external relations, partnerships, and allocation of funds to meet our organization’s objectives.

As the principal data engineer for our Enterprise Data & Advanced Analytics organization, you have the opportunity to reengineer how we provision and make data safe, reliable, and accessible to all of Siemens Energy.

How You’ll Make an Impact / Responsibilities

1. Drive technical delivery and be accountable for overall data engineering strategy, data orchestration architecture, and our data operations execution framework.
2. Define the target data architecture for Siemens Energy’s data estate, considering the construct of the business areas, data domains, data products, and the anticipated integration and provisioning for
   - purpose consumption patterns.
3. Act as a product owner of our data platform and technology services to define the platform requirements and roadmap, and contribute to the design of the underlying infrastructure to facilitate data sharing, data provisioning with the necessary access management control to achieve federated data governance, data mesh framework.
4. Define the target operating model of a modern data and AI factory, and create the framework to monitor and manage the performance and quality of integration pipelines, and to measure and improve our data development velocity and efficiency.
5. Define standards and design patterns to optimize data sharing without sacrificing flexibility, promote scale, and create a composable data landscape that will serve our current and future data needs.
6. Provide a good foundational frame for cost management and control for our data and platform operations.
7. Collaborate with data owners and data delivery teams to design and execute key initiatives, defining minimum viable product (MVP) scope for the upcoming initiatives and outline future roadmap of enhancements and potential improvements.
8. Work with enterprise architects and our IT and software engineering organizations to define data integration requirements and the right access control framework to facilitate data provisioning at scale.
9. Advocate modern ways of software development and be an ambassador for scrum and SAFe frameworks.
10. Keep up to date with the latest developments in data science and data engineering, and keep abreast of
    -
    -
    - art technology to best support the business in making truly
    - driven decisions.
11. Document and present methodologies, procedures, and project results to stakeholders and data professionals across different functions.

What You Bring / Skills, Capabilities

1. Extensive experience in the field of Data & Analytics and Data Architecture and at least 5+ years of experience as a team lead.
2. Excellent understanding and working knowledge of data ingestion, data modeling & analytics with broad and
   - depth expertise in database and data warehouse modeling.
3. 10+ years of experience in developing streaming and batch data pipelines for both cloud and hybrid infrastructures and with streaming frameworks (AWS Io
   T stack).
4. Hands-on experience with modern software development tools.
5. Extensive data analysis experience and the ability to slice & dice data as needed.
6. Experience with cloud providers in data architecture (AWS, Azure).
7. Good to have: Experience in data mesh implementation.
8. Strong customer focus and excellent communication skills to collaborate across multicultural, global teams and proven experience in navigating complex, matrixed organizations and driving outcomes at scale.
9. Open-minded, love to learn, and constantly improve own skills.
10. Excellent writing and communication skills in English; knowledge of German or any other language is a plus.