Lead Data Architect
Employer · Norsk Hydro
Database administrator
Systems analystSoftware developerFlexibleFull-timeBudapest
Hydro Global Business Services (GBS) is an organizational area that operates as an internal service provider for the Hydro group. We are seeking a Lead Data Architect to make our diverse data platforms work together as one coherent, AI-ready ecosystem, combining modern cloud platforms with on-prem SQL Server databases.
Tasks
- Architect and optimize warehouse and lakehouse solutions on Snowflake, Databricks and Azure, integrated with on-prem databases, for analytical, regulatory and operational workloads
- Lead conceptual, logical and physical data modelling standards, using dimensional and data vault methods, and champion canonical models and metadata standards for data product reuse
- Work with BI and Analytics teams to define semantic and business layers that enable self-service analytics
- Define patterns for ingestion, pipelines, orchestration and automation, and set pragmatic standards for CI/CD, infrastructure as code, testing and observability
- Make our data environments AI/ML-ready, working with data scientists and ML engineers on feature data, versioning, reproducibility and provisioning for training and inference
- Define and enforce D&A architecture standards through proportionate design reviews, so solutions meet security, regulatory and Enterprise Architecture requirements
- Help teams decide when to use our standard technologies and when a new path is justified, and advise on prioritizing updates to existing systems
- Lead by example in design sessions, mentor architects and engineers, and keep teams informed of relevant architecture trends
Conditions & benefits
Working at the world's only fully integrated aluminum and leading renewable energy companyDiverse, global teamsFlexible work environment/home officeFreedom to be creative and to learn from expertsPossibility to grow with the company, gain new certificatesAttractive benefit package
Requirements
- 10 years in data engineering, data warehousing or data platforms, including 4 years as an architect or principal engineer
- Deep expertise in warehouse and lakehouse architecture on modern cloud platforms (at least two of Snowflake, Databricks, Microsoft Fabric)
- Strong data modelling: conceptual, logical and physical; dimensional and data vault; canonical models and semantic layers
- SQL Server architecture and performance expertise, and experience modernizing on-prem estates to the cloud
- Solid grounding in ingestion (batch, CDC, streaming), orchestration and DataOps practice
- Experience making data environments ready for AI/ML: feature data, versioning, reproducibility
- Exceptional stakeholder management and the ability to influence leaders, architects and engineers without formal authority
- Experience in a large, multinational or matrix organisation, ideally alongside an Enterprise Architecture function