Data Engineer & Data Architecture Lead

Your Role

• Design and implement enterprise-scale Data Engineering and Data Architecture solutions across cloud and hybrid environments.
• Build robust data integration and ETL/ELT pipelines using Microsoft Fabric, Azure Data Factory (ADF), Databricks, Synapse, SQL, Python, and Spark.
• Define and implement Data Governance, data quality, security, metadata management, and architectural standards across data platforms.
• Architect scalable solutions leveraging the Azure Data Stack, while integrating data from platforms such as Oracle, SAP, Salesforce, and PostgreSQL.
• Provide technical leadership for data engineering initiatives, including architecture decisions, design reviews, performance optimization, and collaboration with business and technical stakeholders.

Your Profile

• Strong experience in Data Engineering, Data Architecture, Data Integration, and Data Governance with the ability to design end-to-end enterprise data solutions.
• Hands-on expertise in Microsoft Fabric, Databricks, Azure Data Factory, Azure Synapse Analytics, SQL, Python, and Spark.
• Strong understanding of data lakes, lakehouse architecture, data warehouses, ETL/ELT frameworks, and cloud-based data platforms.
• Exposure to AWS Data Engineering, GCP Data Engineering, Airflow, Oracle, SAP, Salesforce, and PostgreSQL is highly desirable.
• Experience with reporting and analytics platforms such as Power BI and Microsoft BI, along with strong technical leadership and stakeholder-management capabilities.