Azure Data Engineer - Principal Consultant

Responsibilities:

• Technical Leadership:
• Design and implement scalable, secure, and high-performing data pipelines and data platforms on Microsoft Azure.
• Lead solution architecture discussions for Azure-based data engineering solutions, including data lakes, data warehouses, and data integration pipelines.
• Advise clients on best practices, governance frameworks, and modern data architecture strategies.
• Drive innovation by leveraging Microsoft services such as Microsoft Fabric, Azure Synapse, Azure Data Factory, Azure Databricks, Azure Data Lake, and Azure Purview.
• Technical Management Delivery :
• Oversee the end-to-end delivery of data engineering projects, ensuring quality, scope, and timelines are met.
• Manage project teams, ensuring efficient task delegation and mentoring team members in Azure tools and techniques.
• Collaborate with stakeholders to define technical requirements and deliver solutions aligned with business goals.
• Client Engagement:
• Act as a trusted advisor to clients, providing insights and recommendations for data strategy and architecture.
• Conduct workshops, technical demonstrations, and proof-of-concept (POC) projects to showcase Azure's capabilities.
• Foster long-term client relationships and identify opportunities for future engagements.
• Innovation Knowledge Sharing:
• Stay updated on emerging trends in Azure Data and AI technologies and share knowledge with internal teams.
• Develop reusable frameworks, accelerators, and best practices to enhance project delivery efficiency.
• Contribute to thought leadership initiatives, including whitepapers, blogs, and conference presentations.
• Collaborate with Microsoft and other partners to secure funding and co-develop innovative solutions.
• Practice Growth:
• Support pre-sales efforts by crafting proposals, developing demos, and estimating project delivery costs.
• Contribute to company thought leadership by participating in industry events, panels, and conferences.
• Build and nurture a network of client relationships, identifying opportunities to expand presence in the market.

To be successful in this role, you will have:

• Required Skills Qualifications :
• Experience:
• 8+ years of experience in data engineering, with at least 5 years working with Microsoft Azure technologies.
• Proven experience in delivering large-scale data solutions for enterprise clients.
• Technical Expertise:
• Hands-on experience with Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Data Lake, and Azure SQL Database.
• Strong proficiency in data modelling, ETL/ELT processes, and designing scalable data pipelines.
• Proficiency in Python, PySpark, SQL, or similar programming languages.
• Knowledge of cloud security, compliance, and governance frameworks.
• Knowledge on Microsoft Fabric is highly desirable.
• Hands-on experience on CI/CD deployments using Azure DevOps.
• Familiarity with BI tools like Power BI is a plus.
• Certifications (preferred):
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Azure Solutions Architect Expert
• Microsoft Certified: Fabric Analytics Engineer Associate
• Other relevant Azure certifications
• Soft Skills:
• Strong communication and presentation skills to engage with technical and non-technical stakeholders.
• Leadership abilities, including mentoring junior engineers and managing project teams.
• Problem-solving mindset with a focus on innovation and client success.