• Gather and document requirements • Developing functional specifications • Lead a small team of software engineers • Build new features from the ground up • Maintain and upgrade existing code • Communicate with stakeholders across multiple departments • Develop plans and schedules for delivering features efficiently • Recommend products and processes to improve security and efficiency • Provide regular updates to company leadership • Explain complex problems to stakeholders in layman’s terms

• Work directly with our world-class sales team from initial discovery to deal close to shorten sales cycles and improve closing rates • Oversee and participate in initial discovery meetings with customers, providing platform demos and highly technical Proof of Value engagements for both existing customers and new sales opportunities • Be the direct conduit translating customer business challenges into technical solutions, positioning Tanium to effectively solve those challenges • Function as a technical expert throughout sales engagements, ensuring that tactical motions in the pre-sales and POV processes line up with strategic account goals • Partner with field engineering teams to ensure maximum technical effectiveness and consistent customer experience throughout the POV process • Consistently and cogently address our customers’ needs through astute verbal, written, and presentation skills • Build, manage and maintain strong relationships with customers, peers and partners • Actively participate and speak at regional marketing events and conferences • Customer facing Sales and Channel enablement, including training • Operate as a keystone in the sales model, working with the Sales, Marketing, Product, and CS organizations to continuously improve effectiveness and efficiency throughout the customer life-cycle • Travel expected to be 25-50% to engage with customers and prospects in person

• Provide deep technical expertise and leadership across a range of cloud data technologies. • You will be the go-to person for driving tool selection, resolving complex engineering issues, and guiding best practices during engagements. • Lead the design and implementation of data platforms to meet customers' business requirements. • Lead whiteboard design sessions with internal and external team members. • Identify and communicate technical risks as they emerge over the course of a project. • Work closely with Principal Consultants to extract project requirements during technical discovery sessions, define deliverables to meet those requirements, and break down those deliverables into a technical roadmap. • Lead teams of data engineers to execute project roadmaps. • Provide guidance on technical tasks, priorities, and technical assistance when needed. • Manage scope within customer engagements. Identify changing requirements as they arise, determine their impact on scope, and ensure all stakeholders are aware and agree with the changes. • Maintain a close working relationship with the customer, as a "Trusted Advisor". Set clear expectations, challenge assumptions, solicit feedback, and take ownership of project deliverables. • Establishing credibility and building impactful relationships with our customers. • Architect end-to-end data solutions on Microsoft Fabric, including Lakehouse, Data Warehouse, Real-Time Intelligence, and Data Factory components. • Lead technical design sessions and produce architecture artefacts: solution designs, data flow diagrams, and runbooks. • Build and optimise data pipelines using Azure Data Factory and Fabric Data Engineering workloads. • Define and enforce data governance frameworks — policies, stewardship models, and access controls — leveraging Microsoft Purview. • Implement data lineage tracking end-to-end, ensuring full auditability across ingestion, transformation, and consumption layers. • Establish data quality rules, monitoring, and remediation processes across OneLake and downstream analytics layers. • Collaborate with data product owners, engineers, and business stakeholders to translate requirements into scalable platform designs. • Champion best practices for CI/CD, infrastructure-as-code (Bicep / Terraform), and DevOps within the Azure data space. • Provide technical mentorship to engineering teams and contribute to internal standards and reusable accelerators.

• Owns the feature business prioritization and roadmap for a given workstream • Identifies and measures feature key performance indicators (KPIs) • Works closely with other areas of the company to understand the tradeoffs of technical decisions • Manages tech request intake, triage and communications • Reports on performance to stakeholders demonstrating incremental value creation • Plays active role in user acceptance testing • Define scalable product solutions by deep knowledge of internal and external customer habits • Attracts, retains, and develops Business Analysts on their product career • Adheres to GEICO Code of Conduct, company policies, and operating principles