Senior Data Engineer (Tech Lead)

About the Role We are seeking an experienced Senior Data Engineer with strong data architecture expertise to design, build, and govern enterprise-scale cloud data platforms. This role requires deep experience in modern data technologies, data modeling, integration architecture, governance frameworks, and leading cross-functional teams to deliver scalable data solutions. Role & responsibilities Design and implement modern cloud-based data platforms using Databricks, Snowflake, or Microsoft Fabric. Define and maintain enterprise data architecture, dimensional models, and semantic layers. Lead the design of scalable data integration solutions, including API-based integrations. Develop and automate data engineering processes using Python, C#, and PowerShell. Establish and enforce Data Governance, Data Quality, Data Catalog, and Data Stewardship practices. Drive Master Data Management (MDM) initiatives and data classification standards. Collaborate with business stakeholders to translate requirements into scalable data solutions. Provide technical leadership, mentoring, and guidance to engineering teams. Implement FinOps best practices to optimize cloud platform costs and resource utilization. Ensure data security, compliance, reliability, and operational excellence across data ecosystems Required Skills & Experience Must Have 10+ years of experience in Data Engineering, Data Architecture, or related roles. Hands-on expertise with Databricks, Snowflake, and/or Microsoft Fabric. Strong experience in dimensional data modeling and semantic layer design. Deep understanding of data integration patterns and API-based integrations. Proficiency in Python, C#, and PowerShell. Experience implementing Data Governance, Data Quality, Data Catalog, and Data Stewardship frameworks. Strong knowledge of Master Data Management (MDM) and data classification. Experience leading technical teams and working directly with business stakeholders. Knowledge of cloud cost optimization and FinOps principles. Preferred candidate profile Experience with Azure cloud ecosystem. Familiarity with enterprise-scale analytics and reporting solutions. Certifications in Databricks, Snowflake, Azure, or Microsoft Fabric .