Our Customer:
A global enterprise organization focused on building scalable analytics and data platforms within a Microsoft-first ecosystem. The company leverages Azure, Databricks, Power BI, and modern data technologies to deliver secure, high-performance business intelligence and analytics solutions across the organization.
Your Tasks:
Lead the end-to-end technical delivery of enterprise analytics and data solutions, from solution design and architecture through implementation, deployment, and production support.
Provide hands-on technical leadership across Power BI, Azure, and Databricks environments, including prototyping, architecture reviews, code reviews, troubleshooting, and performance optimization.
Translate business requirements into scalable, maintainable, and secure technical solutions.
Define implementation strategies, validate estimates, identify dependencies, and proactively manage delivery risks.
Establish and enforce engineering standards across reporting, semantic modeling, data pipelines, testing, deployment, monitoring, and documentation.
Ensure solutions meet enterprise requirements for security, governance, compliance, scalability, and operational readiness.
Collaborate with internal teams and external vendors to maintain high delivery quality and technical excellence.
Identify technical debt, drive remediation initiatives, and continuously improve engineering practices.
Provide technical guidance and mentorship to engineering and delivery teams.
Required Experience and Skills:
10+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or related fields.
5+ years of experience in a Technical Lead or Solution Delivery Lead role with ownership of architecture and delivery outcomes.
Expert-level hands-on experience with Power BI, including semantic modeling, DAX, Power Query, governance, deployment, automation, and performance tuning.
Strong expertise in SQL and Python for analytics, automation, and data engineering solutions.
Hands-on experience with Microsoft Azure data services, including Azure Databricks, Azure Data Factory, Azure Data Lake, and related technologies.
Strong understanding of ETL/ELT architectures, orchestration, monitoring, and production support processes.
Proven experience leading technical design, architecture reviews, implementation support, code reviews, and technical problem-solving initiatives.
Strong knowledge of enterprise security, governance, access control, compliance, and operational support requirements.
Experience working within large-scale enterprise environments involving multiple stakeholders, distributed teams, and external suppliers.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent practical experience).
Excellent communication, stakeholder management, and leadership skills.
Upper-intermediate or higher English.
Would Be a Plus:
Experience in highly regulated industries such as Healthcare, Life Sciences, or similar compliance-driven sectors.
Hands-on experience with Microsoft Fabric and Azure AI Services.
Experience driving analytics modernization and cloud transformation initiatives.
Microsoft certifications related to Power BI, Azure Data Engineering, Azure Architecture, or Microsoft Fabric.
Experience participating in vendor evaluation, supplier management, or technical interview processes.
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