Data Architect

JellyLabs Tech; Województwo mazowieckie; Remoto; PLN 180.000 - 340.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work

Descrizione del lavoro

JellyLabs Tech is seeking a Data Architect to define enterprise-wide data architecture and translate business strategy into coherent models and standards. You will craft target-state architecture, common data models, and governance principles to enable interoperability across business units.

The role emphasizes phased roadmaps, data interoperability, and federated governance, with remote work and an onboarding session in Riyadh. Start ASAP for a complex, multi-entity environment.

Competenze

• Translate business and data strategy into enterprise data architecture principles and standards.
• Develop conceptual and logical data models and canonical definitions for priority domains.
• Establish interoperable integration patterns and federated governance across units.
• Identify gaps, migration priorities and a phased transition roadmap.

Mansioni

• Assess the existing data landscape across platforms, models and ownership.
• Define enterprise data architecture principles, standards and target-state architecture.
• Develop canonical models and common definitions for priority data domains.
• Establish integration patterns and governance for interoperability.
• Identify gaps and dependencies and draft a phased transition roadmap.

Conoscenze

Enterprise Data Architecture

Data Modelling (Conceptual/Logical)

Canonical Data Models

Data Interoperability

Cloud / Hybrid Data Architecture

Data Lakehouse / Data Warehouse

Data Governance / Metadata / Lineage

MDM

Federated Architecture

Formazione

Bachelor's degree in Computer Science, Data Engineering, or related field

Strumenti

APIs

Event-Driven Architecture

Data Integration

ETL/ELT tooling

Descrizione del lavoro

The project focuses on defining enterprise-wide data architecture for a complex, multi-entity organization. The Data Architect will translate business and data strategy into a coherent target architecture, common data models, integration standards, governance principles and a phased transition roadmap. A key focus is ensuring interoperability and consistency across different business units and entities.

Key Technologies

• Enterprise Data Architecture
• Conceptual and Logical Data Modelling
• Canonical Data Models
• Data Interoperability
• Cloud / Hybrid Data Architecture
• Data Lakehouse / Data Warehouse
• Data Integration (APIs, Event-Driven, Batch)
• Data Governance, Metadata and Data Lineage
• Master Data Management (MDM)

Your Responsibilities

• Assess the existing data landscape, including platforms, models, integrations, dependencies and data ownership across business units.
• Define enterprise data architecture principles, standards and target-state architecture.
• Develop conceptual and logical data models, canonical models and common definitions for priority data domains.
• Establish integration patterns, interoperability standards and federated architecture governance.
• Identify architecture gaps, migration priorities and dependencies, and develop a phased transition roadmap.

Project setup

• Remote, with one-week onboarding in Riyadh
• Start: ASAP