T Hub - Data Architect – Microsoft Fabric & Data Intelligence

Magentateam; Warszawa; Hybrid; PLN 220,000 - 320,000; Full time

Benefits offered by this job

Medical package

Life insurance

Training platforms - Percipio, Courser

Flexible home/office work model

Birthday/nameday day off

Bonus for employee referrals

Job summary

T Hub is seeking a Data Architect to lead the data engine behind the Seamless Network Integration vision. You will build a unified data platform on Microsoft Fabric, migrating ~50 TB of legacy data and delivering secure partner analytics with an eye toward real-time streaming and AI capabilities.

You will design Fabric state, implement scalable ingestion Pipelines and CMP adapters, and enable real-time insights via Power BI Apps and Embedded patterns while coordinating with DevOps, QA, and

Qualifications

• Deep technical experience with the Azure Data Stack (Databricks, Synapse, Power BI) with a strong focus on or transition to Microsoft Fabric (Lakehouse, Pipelines, Semantic Models).
• Python, PySpark, and large-scale extraction/migration of SIM and network telemetry (Oracle DB >10 TB, batch/CDC, flat files).
• Medallion Architecture, Delta Lake, and Dimensional Modeling (Star Schema) optimized for network and SIM data.

Responsibilities

• Design the target Microsoft Fabric state (Lakehouse, Pipelines, Notebooks, Direct Lake, Semantic Layer) to migrate ~50 TB of legacy Oracle SIM data and unify Seamless Network Integration data while managing cost, performance, and data residency.
• Build scalable ingestion pipelines (Oracle, CSV, CDC) and CMP adaptors to process high-volume SNI data, structuring it via Medallion Architecture (Bronze/Silver/Gold) and Star Schema models.
• Implement audience-tailored reporting for internal teams and partner portals to deliver real-time data insights using Power BI Apps and Embedded patterns.
• Work with development, QA, and DevOps teams through implementation and CI/CD setup.

Skills

Azure Data Stack

Databricks

Synapse

Power BI

Microsoft Fabric

Python

PySpark

Medallion Architecture

Delta Lake

Dimensional Modeling

Security (RLS/OLS)

Entra ID / Azure AD

OAuth2

Azure Key Vault

CI/CD

Kafka / Eventstream

Tools

Fabric (Git)

Job description

We are looking for a Data Architect to lead the data engine behind our Seamless Network Integration (SNI) vision—becoming the global leader in IoT network aggregation. In this role, you will build a unified data platform on Microsoft Fabric by harmonizing SIM and network telemetry across our own portfolio and partner MNO networks. To achieve this, you will migrate ~50 TB of legacy Oracle/SAP SIM data into Fabric, build adaptors into external Connectivity Management Platforms (CMPs), and deliver secure partner-portal analytics while designing the foundation for future real-time streaming (Kafka) and AI capabilities.

Key Responsibilities

• Design the target Microsoft Fabric state (Lakehouse, Pipelines, Notebooks, Direct Lake, Semantic Layer) to migrate ~50 TB of legacy Oracle SIM data and unify Seamless Network Integration data while managing cost, performance, and data residency.
• Build scalable ingestion pipelines (Oracle, CSV, CDC) and CMP adaptors to process high-volume SNI data, structuring it via Medallion Architecture (Bronze/Silver/Gold) and Star Schema models.
• Implement audience-tailored reporting for internal teams and partner portals to deliver real-time data insights using Power BI Apps and Embedded patterns.
• Work with development, QA, and DevOps teams through implementation and CI/CD setup.

WHAT SKILLS WILL BE APPRECIATED?

Hard Skills

Deep technical experience with the Azure Data Stack (Databricks, Synapse, Power BI) with a strong focus on or transition to Microsoft Fabric (Lakehouse, Pipelines, Semantic Models).

Python, PySpark, and large-scale extraction/migration of SIM and network telemetry (Oracle DB >10 TB, batch/CDC, flat files).

Medallion Architecture, Delta Lake, and Dimensional Modeling (Star Schema) optimized for network and SIM data.

Entra ID, Keycloak / OAuth2, Azure Key Vault, and Azure networking (Data Gateways, Private Endpoints).

Granular data security (RLS/OLS), Fabric Git integration, and Azure DevOps CI/CD.

Preferred (Nice-to-Have)

Hands-on experience with real-time streaming concepts (Apache Kafka, Fabric Eventstream).

Background in Data Governance (Microsoft Purview), CMP integrations, or legacy SAP BODS replacement.

Certifications: DP-600, DP-203, or AZ-305.

OUR OFFER FOR YOU

Stable employment based on employment contract.

Medical package and life insurance.

Access to training platforms - Percipio, Coursera, Rodos.

Benefit platform - you choose what you want to use.

Additional day off for your birthday/nameday.

Flexible home/office work model.

No dress code - you can just be yourself here

Medical, sport and life insurance packages at preferential terms

Access to our products and services at preferential terms

Employment contract-based cooperation

Know Talent - receive training or financial bonus for recommending new employees

WHAT WILL YOUR RECRUITMENT PROCESS BE LIKE?

A fair approach to all people who want to join T Hub means that:

• The recruitment process is transparent;
• Our recruitment decision is based solely on an assessment of your skills (your race, skin color, sexual orientation, gender identity, origin, disability, political view, appearance, or religion will not have any influence on the outcome of the process):
• Regardless of the outcome of the process, you will get detailed feedback.

Let’s meet to better understand each other's expectations.

Our screening meeting will last about 20-30 minutes. We will ask you about our areas of interest and will be happy to field any questions you may have.

Hiring Manager will receive a recommendation for your application.

There’s nothing for you to do at this stage — we’ll take care of everything. During this time we process all the information we've gathered during the screening process and dig deeper into your CV.

Technical meetings with the Hiring Manager and/or team members.

We will invite you to one or two project meetings to confirm that we have a ‘perfect match'. The meetings may last between 30 minutes and 90 minutes, during which time we will talk to you about mutual expectations and the vision for our collaboration. You will also most likely meet your future supervisor and your teammate during this time.

At this stage, we will have decided that you are the person we want to develop our projects with. We will then come back to you with an offer of collaboration, hoping for your "yes". If for some reason, we are unable to offer you a position in our team, you will certainly receive feedback from us explaining our decision.