Position: Data Architect
Company: AIDA projektai
Experience required: 3y
Category: Lead
English level: fluent
Published: 2023-06-01T00:00:00+03:00

For our Swedish client from the automotive industry, we realize a recruitment process for the position of Data Architect To support the A&BI GTP area.

An ideal candidate profile:
- Data Architecture has been your world for 3-5 years now
Data Modeling
- Writing SQL and doing data modelling are natural to you
- Data Architecture design
- Azure components like ADFv2, Databricks, Synapse, Delta Lake
- Azure Advanced Analytics technologies and frameworks
- Advanced Analytics related programming language: Python, Pyspark
- Microsoft cloud-based delivery model
- Data Management, Data Governance and Data Quality
- API or microservice deployment
- Data Integration and Processing of real-time/streaming data
DevSecOps
- Appreciation of the purpose and the practices of Agile
- You have experience working in a global environment
- You have excellent communication skills in English (C1 level)

Working alongside with multiple product teams, you provide architecture leadership and support within the end-to-end lifecycle of managing data:

- You provide technical leadership, you participate in development efforts, and you represent the full internal and external capabilities of the platform.
- You will be an active member of the architects guild to oversee data management process and provide guidance and direction to development teams - including design, documentation, maintenance, enhancements and validation.
- You have a proven experience in one of following development track: Analytics & BI development, data analysis, data engineering, platforms administration.
- As architect, you have experiences on Azure Cloud platform around data (Databricks, ADLS storage, SQL DB...), and you know technologies like Python or Spark. Experience with Angular, NodeJs, ADF, Power BI is an advantage.
You have experience in defining and owning end-to-end scalable - Data Architecture taking into account enterprise architecture and industry standards.
- You have participated in the development of architectures, strategies, and policies around data, including data governance, master data management, metadata management, data quality and data security.
- You are used to developing, document and maintain logical and physical data models.
- You are used to work closely with multiple internal teams including compliance, privacy, risk, information security, support and operations to ensure all business requirements are considered in the design process