Be the trusted point of contact for BU data teams adopting the platform and building data products
Turn architecture standards into practical guidelines, reusable templates, and reference data models
Work hands-on with teams to design and implement data products on Databricks using Python and dbt
Guide teams in building analytical solutions and help them explore AI/ML use cases
Challenge and sharpen architecture principles based on field experiences
Support migrations from legacy systems to the new platform

4+ years of experience as a data engineer, analytics engineer, or data/solution architect
Strong understanding of data modeling techniques (dimensional modeling, Data Vault, or similar) and data governance principles
Solid hands-on skills with Python, dbt, and Databricks (or equivalent data transformation frameworks)
Experience designing analytical solutions in Power BI or similar BI tools
Ideally, experience with custom front-ends (Streamlit, Dash, Voila...)
Hands-on exposure to Machine Learning workflows (MLflow, model serving) and/or Generative AI applications (agent-based architectures, RAG, MCP servers)
Track record in large-scale analytics environments, preferably in the manufacturing sector
Familiarity with cloud data architectures and data platform migrations
SAP data extraction experience (BW or alternative) or other enterprise applications is a strong plus.
A strong communicator who can work with both business stakeholders and deep technical teams
Proactive, hands-on, and solution-oriented
Comfortable navigating complexity: multiple stakeholders, competing priorities, ambiguity
An agile mindset.

Data Solutions Architect

Key skills