Data Architect with Azure and Databricks

- Design and implement scalable cloud-based data warehousing and analytics solutions using Azure Data Lake, Azure Databricks, Microsoft Fabric and related services (e.g., Power BI). - Define best practices for data governance, security, performance optimization, and cost efficiency in Azure and Databricks environments. - Collaborate with cross-functional teams (data engineers, data scientists, and cloud architects) to deliver end-to-end data platform solutions. - Integrate Databricks with the broader Azure ecosystem, including data lakes, AI/ML frameworks, reporting systems, and data catalogs (e.g., Unity Catalog, Purview). - Advise clients on modernization strategies, including migration from legacy on-premises databases to Azure and Databricks-based architectures. - Support pre-sales and solutioning activities, including estimation, proof-of-concepts, and technology assessments. - Stay up to date with innovations in Azure, Databricks, Fabric and apply industry trends to ongoing projects. - Collaborate across all crucial stages of project development with business analysts, source system experts, data architects, engineers, and product owners. - Propose and defend effective, consistent solutions that balance strategic development and existing architecture. - Communicate and document work clearly, considering performance and cost factors in design decisions. Flexible: The work location for this role may include a mix of working remotely, onsite at a client or in an Accenture office – depending on specific project circumstances. With all our roles, there is some in-person time for collaboration, learning and building relationships with clients, peers, leaders, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.