We are looking for a Senior Data Modeller
to support a Microsoft Fabric data platform programme for a large enterprise
client.
We are building a more
product-oriented data organisation, where trusted data assets are created once,
governed properly and reused across business domains. This role will help shape
the data models that sit at the heart of that approach.
The successful candidate will work across
source system onboarding, Fabric Lakehouse and Warehouse design, reusable
Silver-layer datasets, Gold-layer analytical models and Power BI semantic
consumption. The role is not limited to drawing data models. It requires
someone who can understand business processes, challenge unclear definitions,
define model grain, agree common entities and help engineering teams turn
source data into trusted, usable data assets.
This would suit someone with strong
dimensional modelling experience who has worked on modern cloud data platforms
and is comfortable operating between business stakeholders, architects,
engineers, governance teams and BI/reporting users.
What You Will
Be Doing
The Data Modeller will be involved in the
design of enterprise and domain-level data models across Microsoft Fabric. This
includes conceptual, logical and physical modelling for recent data sources,
business domains and reporting use cases.
A key part of the role will be to help
define reusable datasets across the Bronze, Silver and Gold layers. Bronze will
largely reflect raw or source-aligned data. Silver should become the trusted,
standardised and reusable business-aligned layer. Gold should support
consumption through reporting, semantic models, dashboards, analytics and
future AI use cases.
The role will work closely with Data
Engineers to define source-to-target mappings, transformation rules, keys,
relationships, data quality checks and history handling. It will also involve
working with Analytics Engineers and Power BI teams to make sure downstream
semantic models are built on consisten
📌 Senior Data Modeler (Hyderabad)
🏢 kanerika software
📍 Hyderabad
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