Designs, builds, governs, and supports scalable analytics and data engineering solutions on Microsoft Fabric and Azure. Responsibilities include developing ingestion pipelines, lakehouse and warehouse models, orchestration, real-time solutions, performance optimization, testing, monitoring, incident resolution, security, capacity management, and platform governance. The role partners with business and technical stakeholders, facilitates design workshops, documents architecture, mentors teams, and contributes to estimation and enterprise BI strategy.
MS fabric Data Engineer Role
- Overview of The Role
The Data Engineer is responsible for designing,
building, and supporting scalable, secure, and high‑performance analytics
solutions on the Microsoft Fabric platform. This role combines strong technical
depth with business acumen to translate evolving business needs into trusted
data products.
The individual will play a key role in shaping and
executing our clients modern BI and analytics strategy.
- How
You Will Make Contributions That Matter:
- Partner
closely with stakeholders to translate business requirements into
Fabric-based data models, pipelines, and analytical solutions
- Contribute
to the end-to-end design and evolution of a scalable enterprise analytics
architecture using Microsoft Fabric
- Collaborate
with Business SMEs and technical teams (Infrastructure, Security,
Dynamics, external) to design and deliver sustainable, governed analytics
solutions
- Assist with
preparation and facilitation of design workshops with documented outcomes
(requirements, design, data models)
- Ensure
solutions are scalable, secure, cost-effective, and aligned with data
& ai strategy
- Design
and develop high-performance data engineering components capable of
processing large volumes of structured and semi-structured data
- Build
reusable, enterprise-grade data models (Lakehouse and semantic models)
aligned with architectural standards and best practices
- Contribute
to administration, governance, and operational health of the Microsoft
Fabric platform
- Define
and execute test strategies, including data validation, performance
tuning, and data profiling
- Monitor
Fabric pipelines, data refreshes, and workloads, proactively troubleshoot
and resolve issues
- Own
incident resolution and day-to-day sustainment of Fabric analytics
solutions
- tilize
Microsoft Analytics tools for seamless integration and efficient user
interface development to enhance overall user experience
- Optimize SQL,
Spark, and DAX queries for performance and scalability
- Mentor
analytics, functional and business teams on Microsoft Fabric capabilities,
patterns, and best practices
- Contributes
to work effort estimation for new and enhanced project
opportunities
- Supervision
- Acts
as an individual contributor and operates independently while
ensuring alignment with enterprise BI and analytics strategy
- Can
oversee project and support activities such as troubleshooting,
enhancements, capacity planning, upgrades, and migrations
- Communicates
clearly and collaborates effectively with cross-functional and
geographically distributed teams
- Qualifications
- Bachelor’s
degree in information systems, Computer Science, Software Engineering, or
equivalent experience
- 5+
years of hands-on experience delivering enterprise analytics and data
engineering solutions on Microsoft platforms
- Strong
experience engineering solutions on Microsoft Fabric and modern Azure
analytics services, with understanding and working knowledge of other
industry-standard analytics and data engineering tools.
- Microsoft
Azure / Fabric certifications
- Strong
foundation in:
- Data
ingestion and integration
- Data
transformation and orchestration
- Data
storage, data lakes, and lakehouse architecture
- Data
warehousing and dimensional modeling
- Experience
with CI/CD, DevOps, and source control (Azure DevOps, GitHub)
- Understanding
of administration, security, and governance for Microsoft analytics
platforms
- Experience
with enterprise delivery methodologies (Agile/ Waterfall) and
estimation practices
- Robust
understanding of Optimization techniques to improve ingestion
process
- Experience
in building real time solutions end to end
- Experience
in ingesting data from SaaS, on-prem, PaaS, SharePoint and
different file formats
- Understanding
of advanced AI technologies like ML, Agentic AI.
- Strong
written and verbal communication skills, especially for technical design
documentation
- Ability
to operate effectively across complex, interdependent
workstreams, teams, and geographies
- Up-to-date
knowledge of industry trends and best practices in data engineering and
analytics
- Technical
qualifications
- Strong
hands-on experience as a Data Engineer on Microsoft Fabric and Azure
platforms, including:
- Fabric
Lakehouse/Warehouse/Event
House/ Materialized Lake view
- Fabric Ingestion
(Data Factory, Pipelines, Dataflow Gen1, Dataflow Gen2, Copy
Job, Notebooks, EventStream, Spark Job
Definition, Spark structure streaming)
- Fabric Orchestration (Apache
Airflow)
- Data
Engineering Languages (Py-Spark/Spark SQL /KQL)
- Experience
with Azure analytics services, including:
- Azure
Data Factory
- Azure
Synapse Analytics
- Azure
Data Lake Storage
- Azure
Databricks (where applicable)
- Development
using Python and Spark notebooks
- Understanding
of data modeling skills, including dimensional modeling (Kimball / star
schema)
- Advanced
SQL skills for analytical workloads
- Good
understanding of Power BI
- Workspace,
security, and capacity management
- Solid
understanding of DevOps / GitHub for version control and CI/CD
- Practical
understanding of Microsoft Fabric governance, security (One Lake Security,
SQL security), and workload management
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