DATA Architect (f/m/d) iRAM Reporting & Analytics Service

Job Description

Rethinking IT.
We have lots of ideas about how to successfully drive digitalization in companies. For example, with open cloud platforms, highly developed security systems, and clever tools for developers. What is your role in this? Move the world from behind the scenes with your IT expertise and passion for game-changing information technology. Rethink IT and steer projects in completely new directions. Be bold when others would have given up. In short, play a key role in driving digitalization forward! We’ll provide the resources you need to do this. We also offer a variety of opportunities to get involved and to be part of a global network of IT experts and professionals. Welcome to our world! 

Looking for your next big challenge? We might be able to help you.
We are looking for a savvy Data Architect to join our iRAM-Service team of analytics experts. You will be responsible for expanding and optimizing our data and data pipeline architecture (IN Datalake), as well as, optimizing data flows from the Datalake to the reporting solution and collection of data from various data sources to the Datalake. The ideal candidate is an experienced data architect who enjoys optimizing data systems and applies best practices to generate the highest value of the IT Service data. The Data Architect will support and advice our ETL developers, Report specialists and data analysts on data initiatives and will ensure data delivery through an optimal data design & architecture. The candidate must be self-directed and comfortable supporting the data needs of multiple Siemens’ business partners, systems and services. The right candidate will be excited by the prospect of optimizing or even re-designing our data architecture to support our next generation of services and data initiatives. 

We make real what matters. This is your role.
  • Acting as Architect in service team for data reporting & analytics
  • Create and maintain optimal data model & architecture
  • Have an overview and optimize the data flows and interfaces (ETL)
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Review existing and propose/design the right infrastructure setup, which is required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Azure and AWS ‘big data’ technologies
  • Design an architecture that for analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
  • Work with stakeholders including the Executives, Service Owners, Business Partners, Data and Design teams to assist with data-related technical needs and requirements
  • Balance our data between on premise SQL servers and Cloud solutions in compliance with ISEC (Information Security), Siemens Legal and Export Control & Customs rules
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our iRAM service into an innovative industry leader
  • Work with data and analytics experts to strive for greater functionality in our data systems
  • Driving forward the standards for design and publishing the respective guidelines

Use your skills to move the world forward.
  • Successfully completed university degree in Computer Science, Statistics, Informatics, Information Systems, or another comparable quantitative field
  • Longterm relevant working experience in a Data Engineer/ Architect role
  • Advanced knowledge in creating designs for database models and data integration
  • Advanced SQL knowledge (Current solution based on MS SQL Server 2016) and experienced working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Experience in building and optimizing ‘big data’ data pipelines, architectures, and data sets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management
  • A successful history of manipulating, processing and extracting value from large distributed datasets
  • Strong project management and organizational skills
  • Experience supporting and working with cross-functional global teams in a dynamic environment (Experience with scrum methodology is a plus)
  • Good communication and presentation skills on expert level
  • Willingness to travel
  • Business fluent English language skills, preferably also good German skills
  • You should also have experience using the following software/tools:
    • Experience with relational SQL and NoSQL databases, including SQL Server 2016, SAP HANA
    • Experience with data pipeline and workflow management tools: Pentaho DI
    • Experience with cloud services: AWS (EC2, EMR, S3, Athena), Azure related technologies
    • Nice to Have: Experience with stream-processing and real-time capturing systems: SPLUNK
    • Nice to Have: Experience with object-oriented/object function scripting languages: Python, Java, R etc.

We’ve got quite a lot to offer. How about you?
if you wish to find out more about Siemens before applying.
if you need information on the application process.
if you would like to find out more about jobs & careers at Siemens.

As an equal-opportunity employer we are happy to consider applications from individuals with disabilities.

Organization: Information Technology

Company: Siemens AG

Experience Level: Experienced Professional

Job Type: Full-time

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