Data architect & Data Modeler (LS Sector). International Project.

ALTEN Delivery Centre Spain; España; Remote; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Long-term contract

International project

Remote work with flexible schedule

Travel abroad

Specialized training

Social benefits

Job summary

ALTEN Delivery Centre Spain is seeking a seasoned Data Architect & Data Modeler for an international project. You will lead landscape analyses, data modeling, and platform governance to unify data across instruments and vendors.

Join a highly qualified team, with option for remote work, flexible schedule, travel opportunities, and ongoing professional development. English proficiency (B2) is required.

Qualifications

• Experience: 8+ years in Data Architecture & Modeling with leadership in scientific, biotech, pharma or advanced R&D digital transformation.
• Hands-on experience with Allotrope Framework (AFO, ASM, ADM, ADF) and FAIR data principles.
• Snowflake and AWS expertise.
• Data Product & Domain Modeling: proficient in Data Mesh, Kimball dimensional modeling, Data Vault 2.0, modeling core entities.

Responsibilities

• Map current data stores, inputs/outputs, APIs, and data silos across discovery.
• Assess toolchain, data standards, interoperability, and data lineage.
• Decide legacy repository strategy: keep, migrate, or convert to standard data layers.
• Operationalize semantic standards.
• Establish models using ASM/ADM/ADF for instruments (LC/MS, HPLC, etc.).
• Create vocabularies, metadata registries, and semantic mappings.
• Design a hybrid multi-domain data platform bridging core platforms with domain repos.
• Model domain entities into Data Products (Experiment, Sample, Instrument, Instrument Raw Data).
• Define data governance personas and enable data scientists with semantic layers and APIs.
• Deliver end-to-end from architecture diagrams to production deployment and training.

Skills

Data Architecture

Data Modeling

Snowflake

AWS

Data Mesh

Kimball Dimensional Modeling

Tools

Allotrope Framework

dbt

Snowflake

AWS

Job description

Are you looking for the next challenge in your career?

Would you like to be part of an exciting highly qualified team of professionals in an international environment?

We are currently looking for a qualified Data architect & Data Modeler (LS Sector). International Project

Join an international division and work alongside with some of the most talented engineers and technicians from all over the world.

• Long-term secure contract.
• International Project with top technologies
• Possibility of working remotely with a flexible schedule.
• Integration in a highly qualified team of professionals.
• Travel abroad with your project.
• Specialized training and continuous professional development.
• Social benefits and flexible compensation plan.

Responsibilities

1. Landscape & Ecosystem Analysis

• Conduct discovery across operational, analytical, and R&D teams to map current data stores, data inputs and outputs, software APIs, and data silos.
• Perform toolchain and data standard assessments, identifying gaps in vendor interoperability, semantic consistency, and data lineage.
• Define strategy for legacy repositories: decide which systems stay, migrate, or convert to standardized data layers (e.g., converting vendor-proprietary formats to Allotrope-compliant standard structures).
• Operationalize semantic standards.
• Establish data models utilizing Allotrope Simple Models (ASM) / Allotrope Data Models (ADM) and Allotrope Data Format (ADF) to standardize analytical data captured across disparate instruments (e.g., LC/MS, HPLC, Plate Readers).
• Build unified controlled vocabularies, master metadata registries, and semantic mappings between vendor-native telemetry and enterprise-standard taxonomy.

3. Connected Platform Architecture & Snowflake Modeling

• Design a hybrid/multi-domain data platform architecture that bridges core enterprise platforms with domain-specific repositories.
• Model domain entities into Data Products (Experiment, Sample, Instrument, Instrument Raw Data).

4. Governance & End-to-End Enablement

• Define consuming personas and define data governance approach.
• Enable Data Scientists and Engineers by serving semantic layers, feature stores, and queryable APIs that preserve contextual lineage and metadata.
• Own end-to-end delivery: from semantic architecture diagrams and dbt models to production deployment, tool integration, and team training.

Key Requirements & Qualifications

• Experience: 8+ years in Data Architecture & Modeling, with proven leadership in scientific, biotech, pharmaceutical, or advanced R&D digital transformation.
• Ontologies & Standards: hands‑on experience with the Allotrope Framework (AFO, ASM, ADM, ADF), FAIR data principles.
• Snowflake and AWS Expertise
• Data Product & Domain Modeling: Strong proficiency in Data Mesh, Dimensional Modeling (Kimball), Data Vault 2.0, and modeling core entities (Sample, Experiment, Instrument Data)

We positively value all work or study experience abroad.

All positions require a high level of English (at least B2) - please send your detailed CV in English.