Senior Technical Architect

As a Senior Microsoft Fabric – Power BI Data Engineer, you will play a key role in building and evolving reusable, product oriented data and analytics solutions on Microsoft Fabric. You will work hands on from data ingestion and Python based transformations to analytics ready data models and Power BI semantic layers. You will design well structured, high quality Fabric reports and analytics, with strong attention to usability, clarity, and performance.

You will ensure solutions are scalable, maintainable, and standardized, avoiding one off custom implementations. You will apply strong engineering practices, using Git and GitHub to manage, review, and promote changes within Fabric, while collaborating closely with business and technical stakeholders to deliver trusted data products.

Key Responsibilities:

Reporting & Data Products (Power BI/Fabric)

Build end to end Power BI solutions:

Semantic models

DAX measures

Dashboards and reports

Focus on product thinking:

Generic datasets reusable by multiple consumers

Clear contract between data model and reports

Ensure reports are:

Performant

Maintainable

Aligned with business KPIs

Aligned to the designed UI/UX

Data Modeling (Analytics Ready)

Design scalable analytical models meant to be reused across reports:

Star schemas (facts & dimensions)

Conformed dimensions and standardized KPIs

Optimize models for:

Performance

Governance

Long term evolution

Data Engineering & Transformation (Microsoft Fabric)

Design and implement reusable data pipelines using:

Microsoft Fabric Lakehouse

Dataflows Gen2

Notebooks (Python / PySpark)

Build production ready transformations in Python:

Data cleansing, enrichment, aggregations

Incremental loads, idempotent logic

Basic data quality and validation checks

Apply Medallion architecture principles (Bronze / Silver / Gold)

Engineering Practices & Product Mindset (Key Requirement)

Work with a product oriented approach:

Standardized data models and pipelines

Avoid one off custom logic per consumer

Favor configuration over customization

Apply software engineering best practices to data:

Modular code

Naming conventions

Documentation

Contribute to shared patterns and internal data products

Git, GitHub & CI/CD Integration

Use Git and GitHub as the default way of working:

Version control for notebooks, semantic models and pipelines

Proper branching and pull requests

Work with GitHub integrated Microsoft Fabric:

Code changes tracked and reviewed

Collaboration through PRs

Basic understanding of:

CI/CD concepts for data & Power BI

Promotion of changes across environments (dev / test / prod)

Must Have

5+ years' experience in data, BI or analytics roles

Strong hands on experience with:

Microsoft Fabric

Power BI (semantic model, DAX, reporting)

Python for data transformation (Pandas, basic PySpark)

SQL

Solid understanding of:

Data modelling for analytics

Data warehouse / Lakehouse concepts

Experience using Git in a professional environment

Engineering mindset applied to data (not only reporting)

Nice to Have (Not Mandatory)

• Experience with Azure cloud services

• Exposure to:

o CI/CD pipelines (GitHub Actions, Azure DevOps)

Microsoft Fabric expertise is a plus, but we value strong fundamentals and engineering discipline above buzzwords.

Collaborate with:

Architects

Product owners

Lead Engineers

Business stakeholders

Challenge requirements that lead to:

Over customization

Unmaintainable solutions

Promote long term platform quality over short term quick fixes

About FNZ

FNZ is committed to opening up wealth so that everyone, everywhere can invest in their future on their terms. We know the foundation to do that already exists in the wealth management industry, but complexity holds firms back.

We created wealth’s growth platform to help. We provide a global, end-to-end wealth management platform that integrates modern technology with business and investment operations. All in a regulated financial institution.

We partner with the world’s leading financial institutions, with over US$2.5 trillion in assets on platform (AoP).

Together with our clients, we empower nearly 30 million people across all wealth segments to invest in their future.

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