Job Description:

About the Role:

We are seeking a Senior Engineer - Data & AI who can architect, build, and optimize enterprise-scale data platforms using Microsoft Fabric. This role requires a strong technical leader with expertise in modern data engineering, analytics, cloud-native architectures, and enterprise data integration.

You will collaborate with solution architects, business analysts, data scientists, and stakeholders to design scalable, secure, and high-performing data solutions that enable business intelligence, AI, and advanced analytics. The ideal candidate is passionate about Microsoft Fabric, has strong hands-on engineering skills, and thrives in delivering end-to-end cloud data solutions.

Key Responsibilities:

Microsoft Fabric Platform Engineering:

- Design, develop, and maintain enterprise data platforms using Microsoft Fabric.

- Build scalable Lakehouse architectures using OneLake, Lakehouse, Warehouse, and Data Engineering capabilities.

- Develop robust ELT/ETL pipelines using Fabric Data Factory and Dataflows Gen2.

- Optimize data ingestion, transformation, and storage for performance and scalability.

- Implement enterprise-grade data governance, monitoring, and security practices.

Cloud Data Engineering:

- Design and implement modern cloud-based data architectures.

- Develop batch and near real-time data pipelines from multiple enterprise sources.

- Integrate structured, semi-structured, and unstructured data into unified analytics platforms.

- Build reusable frameworks for ingestion, transformation, orchestration, and deployment.

- Optimize workloads for performance, reliability, and cost efficiency.

Solution Architecture & Technical Leadership:

- Collaborate with solution architects to define scalable enterprise data solutions.

- Translate business requirements into technical designs and implementation strategies.

- Lead technical discussions, architecture reviews, and solution design workshops.

- Mentor engineering teams and promote engineering best practices.

- Drive reusable architecture patterns and coding standards.

Delivery & Agile Execution:

- Own end-to-end delivery of Microsoft Fabric solutions.

- Participate in Agile ceremonies and sprint planning activities.

- Perform code reviews, performance optimization, and production support.

- Collaborate with DevOps teams for CI/CD implementation and deployment automation.

- Ensure timely delivery while maintaining engineering quality standards.

Stakeholder Collaboration:

- Work closely with business stakeholders, product owners, and consulting teams.

- Participate in solution discovery workshops and client discussions.

- Communicate technical concepts effectively to business users.

- Align technical solutions with business objectives and enterprise architecture standards.

Nice to Have:

- Develop semantic models and enterprise reporting solutions.

- Enable Power BI Direct Lake and Fabric-native reporting capabilities.

- Design analytics-ready datasets for business users and executive dashboards.

- Support self-service analytics by implementing reusable semantic models.

- Ensure high data quality and consistency across reporting solutions.

Ideal Candidate Profile:

- 6+ years of experience in Data Engineering, Cloud Data Platforms, or Analytics Engineering.

- 2+ years of hands-on experience with Microsoft Fabric.

- Strong expertise in:

1. Microsoft Fabric

2. OneLake

3. Lakehouse

4. Fabric Warehouse

5. Data Factory

6. Dataflows Gen2

7. Real-Time Analytics

8. Power BI

- Strong programming experience in:

1. SQL (Advanced)

2. Python

3. PySpark

- Experience in:

1. Data Modeling (Star Schema, Snowflake Schema, Kimball)

2. ETL/ELT Frameworks

3. Data Warehousing

4. Delta Lake

5. CI/CD implementation

- Experience integrating data from Azure SQL, SQL Server, REST APIs, SAP, Oracle, SharePoint, Dynamics 365, and other enterprise systems.

- Strong understanding of Azure ecosystem including Azure Storage, Azure Data Factory, Azure Synapse, Azure Key Vault, and Azure Active Directory.

- Experience implementing enterprise data governance, security, lineage, and monitoring.

- Experience working in consulting or client-facing environments.

- Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications:

- Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related field.

- Microsoft Certifications such as:

1. DP-600: Fabric Analytics Engineer Associate

2. DP-700: Fabric Data Engineer Associate

3. DP-203: Azure Data Engineer Associate

- Experience with:

1. Azure DevOps

2. Git

3. Microsoft Purview

4. AI/ML data pipelines

5. Generative AI solutions

6. Microsoft Copilot

- Familiarity with Agile delivery methodologies and DevOps practices.