Data platform lead

3 weeks ago

Mumbai, India Godrej Consumer Products Limited Full time

Job Title: Data Platform Lead Location: Mumbai, Maharashtra, India About the role As Azure Data Platform Lead, you'll design and implement global data solutions on Azure, lead the data platform team, collaborate with leadership, and ensure our data infrastructure supports business goals. You'll also drive the adoption of new features, standardize the Azure tech stack, and implement best practices. Key Responsibilities Strategic leadership: Develop and execute the data platform strategy in alignment with the company's overall goals and objectives Provide thought leadership on data engineering and visualization best practices, technologies, and industry trends Collaborate with senior executives to identify and prioritize data initiatives that drive business value. Team management: Lead, mentor, and manage a team of data engineers and Power BI developers, fostering a collaborative and innovative environment Define clear objectives and deliverables for team members, ensuring alignment with project goals and company strategy Data solutions design and implementation: Architect and develop scalable data pipelines and ETL processes using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database and other Azure services Design and implement data models, data warehouses, and data lakes on Azure Synapse Analytics and Azure SQL Data Warehouse Design and implement interactive dashboards, reports, and data models using Power BI including advanced features Collaboration and stakeholder management: Work closely with data scientists, analysts, and business stakeholders to understand their data needs and translate them into technical requirements Collaborate with other IT teams to ensure seamless integration of data solutions with existing systems and applications Performance optimisation: Optimise data processing workflows and Power BI dashboards for performance and cost-efficiency Guide the team in troubleshooting and resolving issues related to data pipelines, data quality and system performance Best practices and governance: Establish and enforce best practices for data engineering/visualisation including data governance, security, and compliance Stay current with industry trends and emerging technologies and recommend improvements to enhance data capabilities Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information Innovation and improvement: Stay abreast of emerging technologies and industry trends to drive continuous improvement and innovation in data engineering practices Evaluate and implement new tools and technologies that enhance the organisation’s data capabilities Who are we looking for? Education: BE / B-Tech in Computer Science from a premier institute MBA is preferred Azure Cloud Data Engineering and Power BI certifications Experience: 10+ years of experience in Azure data engineering and Power BI, with a minimum of 5 years in a leadership or management role Extensive experience with Azure cloud services, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database and Power BI Strong proficiency in Power BI Desktop, Power BI Service, and Power BI Report Server Experience with data modeling, DAX, Power Query, and integrating Power BI with various data sources Proven track record of leading data engineering/visualisation teams and delivering large-scale data projects Strong understanding of data architecture, data modeling, and ETL processes Experience with data governance, data security, and compliance Excellent leadership, strategic thinking, and communication skills Ability to manage multiple priorities and work in a dynamic, fast-paced environment Skills: Azure Data Factory and Data Pipeline Orchestration Azure Databricks and Big Data Processing Azure Synapse Analytics and Data Warehousing Azure Power BI and Data Visualisation Data Modelling and Database Design SQL and No SQL Database Technologies Data Lake Storage and Management Power BI and Data Visualisation Machine Learning and AI Integration with Azure ML Python, Pyspark, Py SQL (Spark) Programming Data Security and Compliance within Azure

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