• Own the technical roadmap for our data platform, balancing near-term delivery against long-term scalability. • Develop analytics and data accessibility solutions for internal engineering teams as well as external stakeholders. • Set a high bar of technical excellence for data quality, validation, governance, and observability across the data lifecycle. • Mentor and grow a team of analytics engineers and data engineering by guiding technical decisions, reviewing code and designs, and supporting career development. • Partner with engineering leadership on planning, prioritization, and headcount. • Collaborate cross-functionally with both technical and non-technical customers to platform new data analytics workloads. • Research, evaluate, and integrate cutting-edge big data technologies to enhance our platform capabilities and influence build-vs-buy decisions.

• Provide technical leadership and architectural direction for our cloud platform and infrastructure. • Design, implement, and maintain scalable cloud infrastructure using Infrastructure as Code. • Lead the design and continuous improvement of our CI/CD platform and deployment automation. • Develop self-service tooling that enables engineers to provision, deploy, and operate services independently. • Improve platform reliability, disaster recovery readiness, observability, and cloud cost efficiency. • Establish engineering standards, best practices, and reusable platform patterns. • Mentor engineers through architecture reviews, code reviews, technical guidance, and collaborative problem solving. • Lead complex technical initiatives from research and planning through production deployment. • Partner closely with Software Engineering, Security, and Operations teams to deliver secure and scalable solutions. • Participate in incident response, root cause analysis, and long-term platform improvements.

• Architect and engineer scalable, cloud-native SIEM solutions, utilizing Infrastructure-as-Code principles to manage log ingestion pipelines and storage. • Develop and maintain robust data pipelines to ingest, transform, and normalize security logs from diverse endpoints (APIs, cloud platforms, firewalls) into the SIEM, ensuring high data fidelity and low latency. • Write and optimize custom parsers using Regex and scripting languages to map raw log data to standardized security models, ensuring consistent data structures for analysis. • Program custom integrations connecting third-party tools and streaming data sources to the SIEM via REST APIs and webhooks. • Collaborate with DevOps and Application teams to define logging standards and embed security telemetry requirements early in the software development lifecycle (SDLC). • Manage the full lifecycle of the SIEM platform, including health monitoring, troubleshooting ingestion failures, and debugging parsing errors to ensure 24/7 availability. • Proactively analyze ingestion volume against capacity limits to identify optimization opportunities, implementing granular log tuning and exclusion rules that minimize licensing costs and maximize the signal-to-noise ratio • Engineer automated provisioning workflows using Infrastructure as Code (IaC) to programmatically manage both the underlying infrastructure and complex IAM policies supporting the security platforms.

• Own the end-to-end architecture for Accela's cloud platform, including Azure infrastructure, networking, Kubernetes, identity, security, and platform services. • Define and maintain platform architecture standards, reference patterns, and technical guardrails to support scalability, reliability, and operational excellence. • Lead architecture reviews and drive technical decision-making through the Architecture Decision Record (ADR) process. • Develop long-term technical strategy for modernization initiatives, including cloud-native transformation, platform consolidation, and infrastructure evolution. • Establish architectural approaches for multi-tenant SaaS environments, including tenant isolation, observability, resiliency, and data residency requirements. • Partner with Engineering, Product, Security, Compliance, and Operations teams to align architecture with business objectives and regulatory requirements. • Translate compliance requirements, including FedRAMP, GovRAMP, PCI-DSS, and SOC2, into scalable technical capabilities and platform controls. • Define target-state architecture for shared services and cross-product capabilities spanning multiple acquired technology platforms. • Govern architecture exceptions and provide guidance on complex technical trade-offs impacting multiple engineering organizations. • Mentor and coach senior engineers, staff engineers, and architects, fostering architectural best practices and technical excellence. • Evaluate emerging technologies and industry trends to inform platform strategy and future investments.