ESaaS SFDC Project Management Implementation

Job highlights

• Deep expertise in Microsoft Azure,including Azure Data Factory,Azure Synapse Analytics,and Azure Data Lake Storage. . Hands-on experience with Databricks and Microsoft Fabric,and a strong understanding of their capabilities and use cases.
• We are looking for an exceptional Data & Cloud Architect with extensive experience in enterprise data platforms and cloud technologies

We are looking for an exceptional Data & Cloud Architect with extensive experience in enterprise data platforms and cloud technologies. The successful candidate will play a pivotal role in driving our cloud data engineering initiatives, particularly focused on Azure. This position offers the unique opportunity to lead and shape our data architecture, ensuring we build scalable, secure, and AI-ready data platforms.

Roles and Responsibility

• Define enterprise data architecture strategy across multi-cloud (Azure & AWS).

• Design scalable Lakehouse architectures using Databricks and Microsoft Fabric.

• Establish data platform reference architecture, standards, and governance frameworks.

• Drive cloud-native, serverless, and event-driven architectural patterns.

• Lead the end-to-end architecture and solution design for our cloud data platforms.

• Ensure our data platforms are highly scalable, secure, and optimized for AI and machine learning workloads.

• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

• Stay updated with the latest advancements in cloud technologies and data engineering practices, and drive innovation within the organization.

• Provide technical expertise and guidance to the team, fostering a culture of continuous learning and improvement.

• Communicate complex technical concepts to both technical and non-technical stakeholders, including executive-level personnel.

• Contribute to the development of best practices and standards for cloud data engineering within the organization.

• Lead and mentor a high-performing team of data engineers, fostering a collaborative and inclusive work environment.

Job Requirements

• 14+ years of experience in enterprise data platforms, cloud ecosystems, and large-scale transformation programs.

• Deep expertise in Microsoft Azure, including Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Storage.

• Hands-on experience with Databricks and Microsoft Fabric, and a strong understanding of their capabilities and use cases.

• Proven track record of leading complex modernization initiatives and delivering successful outcomes.

• Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams.

• Strong leadership qualities, with the ability to inspire and mentor a high-performing team.

• Experience with AWS is a plus, as is a background in AI and machine learning.

• A proactive and innovative mindset, always seeking to improve and optimize our data platforms.

• Ability to work remotely and manage projects independently, with strong time management skills.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.