Technical Lead

As a Technical Lead / Data Lead on the Enterprise Data Platform Modernization project on Azure/AWS, your role will involve leading the design and implementation of a cloud-based enterprise data platform. You will consolidate data from multiple business applications to enable advanced analytics, reporting, and business intelligence. Key Responsibilities: - Design scalable Data Lake, Data Warehouse, and Lakehouse architectures on Azure/AWS - Lead migration of on-premises data platforms to cloud environments - Build ETL/ELT pipelines using Azure Data Factory, Databricks, and Snowflake - Integrate data from ERP, CRM, and third-party systems - Develop real-time and batch data processing frameworks - Implement data governance, security, and compliance standards - Create executive dashboards and reporting solutions using Power BI and Tableau - Manage technical teams and coordinate with business stakeholders - Conduct solution reviews, architecture discussions, and client presentations - Ensure platform scalability, performance optimization, and cost efficiency Qualifications Required: - Experience with Azure (ADF, ADLS, Synapse, Databricks) and/or AWS (S3, Glue, Redshift, EMR) - Proficiency in Snowflake, Databricks, Power BI, Tableau, SQL, and Python - Familiarity with ETL/ELT Frameworks - Prior experience in reducing reporting turnaround time, enabling centralized enterprise analytics, improving data quality and governance, and migrating data workloads to the cloud No additional details of the company are mentioned in the Job Description. Note: The above Job Description is based on the provided details from the JD and structured for clarity and relevance to the role of Technical Lead / Data Lead for the Enterprise Data Platform Modernization project on Azure/AWS. As a Technical Lead / Data Lead on the Enterprise Data Platform Modernization project on Azure/AWS, your role will involve leading the design and implementation of a cloud-based enterprise data platform. You will consolidate data from multiple business applications to enable advanced analytics, reporting, and business intelligence. Key Responsibilities: - Design scalable Data Lake, Data Warehouse, and Lakehouse architectures on Azure/AWS - Lead migration of on-premises data platforms to cloud environments - Build ETL/ELT pipelines using Azure Data Factory, Databricks, and Snowflake - Integrate data from ERP, CRM, and third-party systems - Develop real-time and batch data processing frameworks - Implement data governance, security, and compliance standards - Create executive dashboards and reporting solutions using Power BI and Tableau - Manage technical teams and coordinate with business stakeholders - Conduct solution reviews, architecture discussions, and client presentations - Ensure platform scalability, performance optimization, and cost efficiency Qualifications Required: - Experience with Azure (ADF, ADLS, Synapse, Databricks) and/or AWS (S3, Glue, Redshift, EMR) - Proficiency in Snowflake, Databricks, Power BI, Tableau, SQL, and Python - Familiarity with ETL/ELT Frameworks - Prior experience in reducing reporting turnaround time, enabling centralized enterprise analytics, improving data quality and governance, and migrating data workloads to the cloud No additional details of the company are mentioned in the Job Description. Note: The above Job Description is based on the provided details from the JD and structured for clarity and relevance to the role of Technical Lead / Data Lead for the Enterprise Data Platform Modernization project on Azure/AWS.