• Build the California go-to-market from zero and carry the net-new logo quota yourself • Run full-cycle deals from first conversation through proposal, negotiation, and signature • Activate your existing CIO/CDO/Chief AI Officer relationships from day one • Translate client business problems into AI-led, outcome-based proposals instead of headcount pitches • Co-sell with AWS, Databricks, and Snowflake field teams to source and accelerate deals • Represent the company at AWS, AI, and industry events and build a point of view that pulls inbound

• Design, develop, and maintain applications using .NET and .NET Core. • Build and deploy containerized applications on AWS cloud environments. • Manage and optimize Kubernetes-based workloads, including Amazon EKS. • Collaborate with cross-functional teams to deliver scalable, secure, and high-performing solutions. • Troubleshoot, monitor, and improve cloud infrastructure and application performance. • Follow best practices for cloud architecture, automation, and DevOps processes.

• Design, build, and operate AWS infrastructure using CDK (TypeScript) and OpenTofu/Terraform. • Build and improve orchestration and automation using Step Functions, Lambda, and EventBridge, with a strong focus on reliability, error handling, and resilience. • Implement and manage data access and governance using Lake Formation, Glue Data Catalog, and Athena workgroups. • Own S3 at scale, including lifecycle policies, storage optimization, and data partitioning strategies. • Support and operate Aurora PostgreSQL / RDS and Redshift from an infrastructure perspective (provisioning, performance tuning, cost awareness, and maintenance). • Build and maintain CI/CD pipelines in GitHub, including infrastructure deployments and environment promotion. • Contribute to centralized monitoring, security, and compliance practices across the platform. • Work closely with data engineers, architects, and business stakeholders, and help document and hand over solutions where needed.

• Design, develop, and support Azure Durable Functions utilizing orchestrator and activity patterns. • Build and maintain solutions using .NET 8 (Isolated Worker) and distributed processing architectures. • Modernize existing automation processes by converting legacy PowerShell-based workloads into scalable, stateless Azure Functions. • Implement event-driven architectures leveraging Azure Event Hubs and related Azure services. • Develop high-performance data ingestion pipelines utilizing watermark-based change detection, parallel processing, and scalable ingestion patterns. • Support the migration of legacy data processing systems to Azure-based cloud infrastructure. • Contribute to the design and implementation of modern cloud-native data processing solutions. • Analyze and optimize existing workflows to improve scalability, reliability, and operational efficiency. • Collaborate with architects, engineers, and stakeholders to define future-state cloud data platform capabilities. • Design and implement data validation, reconciliation, and quality assurance frameworks. • Develop parallel-run validation strategies to ensure accuracy during modernization efforts. • Build comprehensive observability solutions including logging, monitoring, telemetry, and alerting. • Implement robust error handling, retry mechanisms, and operational support processes using Azure Application Insights and related monitoring tools. • Design, optimize, and maintain SQL Server solutions including stored procedures, queries, and database performance tuning. • Troubleshoot complex database performance issues and implement scalable solutions. • Ensure data integrity, consistency, and reliability across integrated systems. • Evaluate downstream dependencies including reports, integrations, data feeds, and business applications. • Partner with technical and business teams to ensure successful solution delivery. • Participate in architecture discussions, code reviews, and technical design sessions. • Document solutions, processes, and technical standards. • Provide technical leadership and mentorship to engineering resources, including offshore development teams when applicable. • Coordinate development activities across distributed teams and promote engineering best practices, code quality standards, and knowledge sharing. • Encourage the effective use of AI-assisted development tools such as GitHub Copilot (or similar) to accelerate code generation, documentation, testing, and engineering productivity.