Position:- Senior Azure Data Engineer/Technical Lead w/MS Fabric
Location :- Plano, Texas (90% Remote) – 3 days in the office a month
Duration:- 6-month contract with option to hire PERM
Interview :- MS TEAM VIDEO
We are seeking a talented Technical Lead .LOCAL TX people only
DETAILS :-
Must have Azure, Data Engineering, ADF, MS Fabric, Delta Lake, Python, SQL, Must be a technical lead
This role is responsible for designing, developing, and supporting enterprise-scale data products and analytics solutions.
The ideal candidate combines strong hands-on data engineering expertise with experience building scalable, governed, and reusable data platforms. This individual will partner closely with business stakeholders, product delivery leads, analysts, and fellow engineers to transform complex business requirements into high-quality data products that support enterprise decision-making.
This role requires deep expertise in data architecture, pipeline development, data modeling, and platform reliability while contributing to engineering best practices, code quality, and continuous improvement initiatives.
Required Skills:
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Microsoft Fabric, Fabric Data Factory, Fabric Lakehouse, Fabric Data Pipelines, Fabric Notebooks, Fabric Semantic Models,
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PySpark, Python, SQL, Azure Data Engineering, ADF, Data Modeling, Medallion Architecture (Bronze, Silver, Gold), Git/GitHub, Power BI
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Good communication skills
Key Responsibilities
Data Engineering & Platform Development
- Design, develop, and support enterprise data solutions utilizing Microsoft Fabric.
- Build and maintain scalable data pipelines using Fabric Data Factory and Data Pipelines.
- Design and support Fabric Lakehouse architectures supporting enterprise analytics and AI initiatives.
- Develop data transformation and processing solutions using PySpark, Python, SQL, and Fabric Notebooks.
- Create and maintain Semantic Models to support enterprise reporting and self-service analytics.
- Implement Medallion Architecture (Bronze, Silver, Gold) data layers to support governed and reusable data products.
- Develop scalable ingestion, transformation, historization, validation, and monitoring frameworks.
- Design, develop, and support enterprise data solutions
- Build and maintain scalable Medallion Architecture (Bronze, Silver, Gold) data pipelines.
- Develop ingestion, transformation, validation, historization, and monitoring frameworks.
- Create robust ETL/ELT processes using PySpark, Power BI, Python, and SQL.
- Design and maintain governed data products, fact tables, dimensional models, and curated datasets.
- Support integration of ERP, CRM, finance, operational, marketing, and third-party data sources.
- Ensure data quality, lineage, observability, performance, and security across all solutions.
- Optimize data pipelines for scalability, maintainability, and operational efficiency.
- Translate business requirements, epics, and user stories into technical solutions and implementation plans.
- Collaborate with Product Delivery Leads, analysts, and business stakeholders to define requirements and deliver value-driven data products.
- Participate in technical design sessions, architecture discussions, and solution reviews.
- Identify dependencies, technical risks, and performance considerations throughout the development lifecycle.
- Contribute to engineering standards, reusable patterns, and development best practices.
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