AWS & Databricks Platform Architect

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced AWS & Databricks Platform Architect you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

We are looking for an experienced Azure Databricks Developer to join our data engineering team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions on the Azure platform. You will work closely with data scientists, analysts, and other engineers to enable data-driven innovation and decision-making across the organization..

Design and implement secure, scalable Databricks platform architectures on AWS, including workspace deployment, networking, IAM, and Private Link connectivity.

Build and maintain Terraform-based infrastructure automation for AWS and Databricks resources to support standardized and repeatable platform delivery.

Define and apply platform security patterns across identity, access control, secret management, network security, encryption, and data protection.

Lead architecture discussions, technical workshops, and enablement sessions with customer and internal teams to guide solution design and implementation.

Architect multi-account and multi-workspace environments that support strong isolation, shared services, and environment separation across dev, test, and production.

Partner with stakeholders across security, infrastructure, and data teams to support governance, resiliency, compliance, and operational readiness.

Provide technical guidance and support to other team members.

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management

Independently and collaboratively lead client engagement work streams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

AI & Engineering - Industry Solutions teams works with the Customer group to bring a flexible capability and fluid capacity model to the delivery of small technology projects and enhancements.

Strong understanding of Databricks classic and serverless workspace deployments on AWS, including S3, IAM, VPC design, and both front-end and back-end Private Link connectivity

6yrs+ of hands-on Terraform experience across both AWS and Databricks resources to deploy, configure, and manage secure workspace infrastructure

Working knowledge of Databricks platform security architecture, including workspace isolation, identity integration, cluster access controls, secret management, and network security patterns

Strong communication skills with ability to independently lead architecture enablement sessions with large customer teams

Threat model fluency —…