• Design and evolve the enterprise Azure Lakehouse architecture, ensuring scalability, performance, and long-term sustainability. • Lead the transformation of classic Data Warehouse environments into modern Lakehouse and Delta Lake-based architectures. • Take architectural ownership from concept through implementation, production rollout, and continuous optimization. • Define and implement architecture principles, standards, patterns, and best practices for data engineering and analytics platforms. • Design and oversee data ingestion, processing, and streaming pipelines using Azure Databricks, Azure Data Factory, Event Hub, and Azure Logic Apps. • Build and optimize data processing solutions using Delta Lake, Spark, Spark Structured Streaming, SQL, and Python. • Define data modeling strategies across data lake and warehouse layers, applying Kimball, Inmon, and Data Vault methodologies. • Collaborate with engineering teams to implement reference architectures, prototypes, and proof-of-concepts. • Enable and coach data engineering teams toward autonomous, high-quality solution development. • Ensure platform designs comply with enterprise security, data protection, and regulatory requirements. • Support advanced analytics, self-service BI, and reporting use cases across the organization. • Work closely with product owners, architects, governance, and business stakeholders in agile delivery environments. • Contribute to continuous improvement of platform architecture, development processes, and operating models.

• Key member of the engineering team, working with client engineering teams, product owners, solutions architects, back-end/front-end developers to drive successful project delivery for our clients and solutions. • Perform client and project discovery activities to understand business and technical requirements, success metrics, and solution architecture. • Act as a trusted advisor to clients, understanding their business challenges and translating them into actionable, high-impact AI/ML solutions. • Develop clear, compelling AI/ML roadmaps and strategies that align with client goals and maximize the use of Google Cloud's AI and data capabilities. • Design and implement end-to-end AI/ML solutions on Google Cloud Platform, including data ingestion, feature engineering, model training, deployment, and monitoring. • Work closely with cross functional team members to drive successful delivery of client projects as well as establish repeatable processes and best practices in a professional services organization.

• Seize your opportunity to make a personal impact as an Azure Cloud Developer supporting our HHS HRSA customer for their cloud migrations. • Play a crucial role in their cloud migration activities. • Migrate Virtual IPs (VIPs) from Citrix NetScalers to an Akamai SASE along with configuring additional Azure services Infrastructure-as-Code (IaC), specifically BICEP. • Engage in Change Request & Change Management processes that directly impact production environment through the creation and updating of Technical Implementation Plans (TIP) and attending & presenting changes to the Control Advisory Board (CAB). • Configure Azure Application Gateway (AGW), Network Security Groups (NSG), Routing Rules and Log Analytics Workspace (LAW) using both Infrastructure as Code (IaC) and through the Azure Portal. • Document and adhere to Standard Operating Procedures (SOP). • Understand NIST 800-53 Security Controls. • Work with Program and Project management throughout the period of performance (POP). • Attend standing, adhoc team and customer meetings. • Perform post migration activities including remediating any issues identified during and after business-hours. • Provide training to the government on details of the migration process. • Resolve technical problems that occur and on-call support for non-business hours. • Provide Weekly and on-demand Status Reports on work performed.

• The NE will be working on application migrations, client migrations, and infrastructure build in support of our Cloud9 project. • Load balancer configuration is a must. • OSI model/TCP stack troubleshooting and analysis is also a must. • Expertise with Cisco, Fortinet, Brocade, Citrix Netscaler Load Balancers, F5 Load Balancers.