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Dijital Team

Senior Data Analytics Consultant

Dijital Team Colombo 3 days ago
engineering
We are seeking a Senior Data Analytics Consultant with strong technical leadership and client-facing experience to design, deliver, and optimize enterprise-scale data platforms on Microsoft Azure. This role requires hands-on expertise in modern data engineering, solution architecture, and the ability to guide clients on best practices, governance, and data strategy while leading high-performing delivery teams.

Key Responsibilities:

  • Technical Leadership & Architecture :
  • Design and implement scalable, secure, and high-performing data pipelines and platforms on Microsoft Azure.
  • Lead solution architecture discussions for Azure-based data engineering solutions, including:
  • Data Lakes
  • Data Warehouses
  • Data Integration Pipelines
  • Advise clients on modern data architectures, governance frameworks, security, and best practices.
  • Drive innovation using Microsoft services such as:
  • Microsoft Fabric
  • Azure Synapse Analytics
  • Azure Data Factory
  • Azure Databricks
  • Azure Data Lake
  • Azure Purview
  • Technical Management & Delivery :
  • Oversee end-to-end delivery of data engineering projects, ensuring quality, scope, timelines, and client satisfaction.
  • Manage project teams by:
  • Delegating tasks effectively
  • Mentoring team members on Azure tools and engineering best practices
  • Collaborate with internal and external stakeholders to define technical requirements and deliver solutions aligned with business objectives.
  • Client Engagement:
  • Act as a trusted advisor to clients, providing strategic insights on data platforms and analytics solutions.
  • Conduct workshops, technical demos, and proof-of-concept (POC) engagements to showcase Azure capabilities.
  • Build and maintain long-term client relationships, identifying opportunities for future engagements and solution expansions.
  • Innovation & Knowledge Sharing ;
  • Stay up to date with emerging trends in Azure Data, Analytics, and AI technologies.
  • Develop reusable frameworks, accelerators, and best practices to improve delivery efficiency.
  • Contribute to thought leadership through whitepapers, blogs, internal knowledge sessions, and conference presentations.
  • Collaborate with Microsoft and partner ecosystems to co-develop innovative solutions and secure funding opportunities.
  • Practice Growth & Pre-Sales
  • Support pre-sales activities, including:
  • Proposal development
  • Solution design
  • Demo creation
  • Project cost and effort estimation
  • Represent Agile Insights at industry events, panels, and conferences to strengthen market presence.
  • Identify and nurture new business opportunities to expand the Data & Analytics practice.

    • Required Skills & Qualifications

  • Experience
  • 5 years of experience in data engineering, with a minimum 5 years on Microsoft Azure.
  • Proven experience delivering large-scale, enterprise-grade data solutions.
  • Technical Expertise
  • Hands-on experience with:
  • Azure Synapse Analytics
  • Azure Data Factory
  • Azure Databricks
  • Azure Data Lake
  • Azure SQL Database
  • Strong expertise in:
  • Data modelling
  • ETL / ELT processes
  • Designing scalable and resilient data pipelines
  • Proficiency in Python, PySpark, SQL, or similar programming languages.
  • Experience with CI/CD deployments using Azure DevOps.
  • Knowledge of cloud security, compliance, and data governance frameworks.
  • Microsoft Fabric experience is highly desirable.
  • Familiarity with Power BI or other BI tools 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 Microsoft Azure certifications

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