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Skills

Analytics
Apache Spark
Artificial Intelligence
Business Intelligence
Cloud Computing
Collaboration
Continuous Delivery
Continuous Integration
Dashboard
Data Engineering
Data Flow
Data Governance
Data Warehouse
DevOps
Dimensional Modeling
Embedded SQL
Embedded Systems
Epic
Microsoft Azure
Microsoft Certified Professional
Microsoft Power BI
PASS
PySpark
Microsoft SQL Server
Migration
Normalization
Git
HIPAA
KPI
Management
Microsoft
Python
Reporting
SQL
Semantics
Tableau
Transact-SQL
Warehouse

Analytics
Apache Spark
Artificial Intelligence
Business Intelligence
Cloud Computing
Collaboration
Continuous Delivery
Continuous Integration
Dashboard
Data Engineering
Data Flow
Data Governance
Data Warehouse
DevOps
Dimensional Modeling
Embedded SQL
Embedded Systems
Epic
Microsoft Azure
Microsoft Certified Professional
Microsoft Power BI
PASS
PySpark
Microsoft SQL Server
Migration
Normalization
Git
HIPAA
KPI
Management
Microsoft
Python
Reporting
SQL
Semantics
Tableau
Transact-SQL
Warehouse

Summary

Job Title: Lead/Principal Microsoft Fabric Data Engineer

Location: Dallas TX (Can be remote)

ROLE SUMMARY

Design and build the migration of enterprise Tableau dashboards from on-prem SQL Server (Epic Clarity ~90%) onto a governed Fabric medallion architecture. Greenfield Fabric build: define Bronze/Silver/Gold standards, workspace/capacity topology, and Lakehouse-vs-Warehouse decisions; engineer the pipelines, notebooks, and Gold/semantic data products that Tableau published data sources connect to.

KEY RESPONSIBILITIES

Stand up the Fabric medallion using hybrid model: Bronze and Silver in the Lakehouse (Delta), Gold in the Fabric Warehouse (T-SQL).
Build Bronze and Silver in the Lakehouse using Spark/PySpark notebooks and Data Factory pipelines (source-aligned Bronze; deduplicated, standardized, reusable Silver).
Build the Gold layer in the Fabric Warehouse as enterprise dimensional models (facts, dimensions, aggregations, KPIs) using T-SQL, loading from Silver via Data Factory pipelines, Spark notebooks, or Dataflow Gen2.
Translate parsed Tableau embedded/custom SQL into reusable Silver logic and business-ready Gold fact/dimension products.
Build Gold dimensional models and Fabric semantic models / Direct Lake datasets that replace embedded SQL as published Tableau data sources.
Act as the human-in-the-loop reviewer on the automated Bronze/Silver/Gold recommendations: judge whether a subquery is a reusable business concept, whether a Fabric object already implements it, and fact vs dimension vs report-specific mart.
Implement governance/security: Purview cataloging & lineage, sensitivity labels, RLS/OLS, PHI/HIPAA controls.
Establish and enforce naming/medallion/governance standards across waves.
Implement CI/CD via Azure DevOps and Fabric git integration / deployment pipelines.
Lead data reconciliation and validation against source systems, partnering with business owners on automated comparisons and joint sign-off checkpoints.
Collaborate with Tableau team to repoint connections to Fabric-backed data sources.

REQUIRED QUALIFICATIONS

12+ yrs data engineering/data warehousing, incl. lead-level platform architecture ownership.
3+ yrs hands-on Microsoft Fabric (Lakehouse, Warehouse, Data Factory, Spark notebooks, Dataflows Gen2, Direct Lake, semantic models) or equivalent Synapse/ADF with recent Fabric delivery.
Expert T-SQL with proven Fabric Warehouse (or SQL DW / dedicated SQL pool) delivery of enterprise dimensional Gold models.
Strong Spark/PySpark for Lakehouse Bronze/Silver transformations, and proven medallion / lakehouse architecture implementation at scale.
Strong dimensional modeling (Kimball) for Warehouse-based Gold fact and dimension design.
Hands-on data governance: Microsoft Purview, lineage, sensitivity labels, and row-level / object-level security.
CI/CD for data platforms with Azure DevOps and git-based deployment.
Track record migrating or consolidating large BI/data estates onto a modern cloud data platform.
Agentic AI / MCP-driven automation.

TECH STACK

Microsoft Fabric (Lakehouse, Warehouse, Data Factory, Notebooks/Spark, Dataflows Gen2, Direct Lake, Semantic Models) ·

OneLake
T-SQL
PySpark
Python
SQLGlot
Microsoft Purview
Azure DevOps
Power BI / Tableau
SQL Server / Epic Clarity

PREFERRED QUALIFICATIONS

Microsoft Certified: Fabric Data Engineer Associate / Fabric Analytics Engineer Associate; Azure Data Engineer Associate.
Epic Clarity / Caboodle experience.
Experience integrating Fabric Warehouse (SQL endpoint, XMLA, Direct Lake) as a published data source for Tableau consumption.
Familiarity with SQL parsing/normalization (SQLGlot/Python) and duplicate-logic detection to accelerate first-pass medallion classification.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91099596
Position Id: 9030642
Posted 18 hours ago

Fitment

Dice Job Match Score™

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Venkatesan Manoharan

Senior Manager-Talent Acquisition @ Emergere Technologies

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Lead/Principal Microsoft Fabric Data Engineer

Skills

Summary

Dice Job Match Score™

Venkatesan Manoharan

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