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Salary
≈ $41k – $95k per year (Estimated)
Location
In office (Budapest)
Seniority
Architect · 10+ years exp

Confirmed on the employer's own hiring board on Oct 28, 2026. First seen by Alion on Oct 26, 2026.

Overview
Company
Impact
Profile match
Hydro, legally Norsk Hydro ASA, is a Norwegian aluminium and renewable energy company headquartered in Oslo that produces primary aluminium, extrusion ingots, foundry alloys, extruded profiles and building systems and runs hydropower and recycling operations. Founded in 1905, it employs about 32,000 people in more than 140 locations across 40 countries, with primary metal plants in Europe, Canada, Australia, Brazil and Qatar and around 100 extrusion sites. Hiring spans machine operators, maintenance and quality technicians, reliability engineers, IT staff, buyers, sales managers, apprentices and interns.

Hydro Global Business Services (GBS) is an organizational area that operates as an internal service provider for the Hydro group. Its ultimate purpose is to deliver relevant IT, financial and HR business services to all business areas within the company.

About the role

Our data estate combines modern cloud platforms (Snowflake, Databricks, Microsoft Fabric on Azure, Power BI) with on-prem SQL Server databases we are modernizing. Each platform has an expert domain architect. What we need now is the architect who makes them work together as one coherent, AI-ready ecosystem.

As Lead Data Architect, you will shape our warehouse and lakehouse architecture, data models, pipelines and standards, aligned to the Hydro Data Strategy. You will lead through expertise, judgement and trust rather than hierarchy, with a clear mandate for cross-platform decisions.

What you will be doing

  • 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

How decisions work

Domain architects decide within their platforms. You decide on cross-platform patterns and D&A modelling standards within an agreed mandate. Enterprise-wide standards, exceptions and technology adoption follow Enterprise Architecture governance and the D&A Manager. Data strategy, policy and business definitions sit with Data Governance. You will be expected to recommend clearly and escalate well.

What you bring

  • 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

Nice to have

  • Streaming platforms, catalog tooling (Unity Catalog, Purview) and MLOps tooling (MLflow, feature stores)
  • FinOps awareness for consumption-priced platforms; AWS experience

What we offer you

  • Working at the world’s only fully integrated aluminum and leading renewable energy company
  • Diverse, global teams
  • Flexible work environment/home office
  • We provide you the freedom to be creative and to learn from experts
  • Possibility to grow with the company, gain new certificates
  • Attractive benefit package

Equal opportunities

At Hydro, we believe diversity makes us stronger. We welcome diverse experiences and perspectives, and invite all qualified candidates to apply. We review every application fairly and strive to provide equal opportunities for everyone to grow and succeed.

Apply before: 11/30/2026

Hydro Global Business Services (GBS) is an organizational area that operates as an internal service provider for the Hydro group. Its ultimate purpose is to deliver relevant IT, financial and HR business services to all business areas within the company.

About the role

Our data estate combines modern cloud platforms (Snowflake, Databricks, Microsoft Fabric on Azure, Power BI) with on-prem SQL Server databases we are modernizing. Each platform has an expert domain architect. What we need now is the architect who makes them work together as one coherent, AI-ready ecosystem.

As Lead Data Architect, you will shape our warehouse and lakehouse architecture, data models, pipelines and standards, aligned to the Hydro Data Strategy. You will lead through expertise, judgement and trust rather than hierarchy, with a clear mandate for cross-platform decisions.

What you will be doing

  • 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

How decisions work

Domain architects decide within their platforms. You decide on cross-platform patterns and D&A modelling standards within an agreed mandate. Enterprise-wide standards, exceptions and technology adoption follow Enterprise Architecture governance and the D&A Manager. Data strategy, policy and business definitions sit with Data Governance. You will be expected to recommend clearly and escalate well.

What you bring

  • 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

Nice to have

  • Streaming platforms, catalog tooling (Unity Catalog, Purview) and MLOps tooling (MLflow, feature stores)
  • FinOps awareness for consumption-priced platforms; AWS experience

What we offer you

  • Working at the world’s only fully integrated aluminum and leading renewable energy company
  • Diverse, global teams
  • Flexible work environment/home office
  • We provide you the freedom to be creative and to learn from experts
  • Possibility to grow with the company, gain new certificates
  • Attractive benefit package

Equal opportunities

At Hydro, we believe diversity makes us stronger. We welcome diverse experiences and perspectives, and invite all qualified candidates to apply. We review every application fairly and strive to provide equal opportunities for everyone to grow and succeed.

Apply before: 11/30/2026

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