• Design and build ETL pipelines using PySpark, SQL, and Azure data services to process healthcare data from multiple source systems • Execute data extraction and transformation operations on complex healthcare datasets, ensuring accuracy and compliance with established standards • Develop data quality validation frameworks to identify and resolve issues during integration, QC, and backtesting phases • Troubleshoot technical issues including data schema mismatches, transformation logic errors, and performance bottlenecks • Build reusable data components and standardized integration patterns that accelerate future implementations • Optimize pipeline performance for large-scale healthcare datasets, ensuring efficient processing and resource utilization • Implement data validation rules specific to healthcare contexts (e.g., clinical code validation, temporal logic checks, referential integrity) • Write and maintain technical documentation for data pipelines, transformations, and integration patterns • Support production deployments by coordinating with infrastructure teams and conducting final testing

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers • Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts • Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks • Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations • Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise • Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals • Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs • Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: • Main use cases moving from ‘win’ to production • Enablement / user growth plan • Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) • Organic needs for current investment (e.g. cloud cost control, tuning & optimization) • Executive and operational governance • Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

• Deliver compelling technical demonstrations, product presentations, and proof-of-concept engagements • Engage with customers to understand their incident response workflows, investigation challenges, and security architecture • Design and recommend solution architectures and deployment strategies tailored to each environment • Support integration of Binalyze solutions into SOC workflows, IR processes, and enterprise security stacks • Act as a trusted technical advisor throughout the full customer lifecycle • Articulate technical value, key differentiators, and solution fit to both technical and non-technical audiences • Provide best practices guidance on endpoint investigation and digital evidence collection • Collaborate with sales, product, engineering, and customer success teams to feed field insight back into the business • Support enterprise evaluations, pilot engagements, and technical sales cycles

• Work directly with enterprise healthcare clients to configure, troubleshoot, and optimize our custom ETL platform. • Manage client communications, resolve technical issues, and develop SQL/SSIS solutions—all remotely. • Write and implement client configuration changes in SQL Server. • Collaborate with enterprise clients on their data and ETL pipeline needs. • Troubleshoot and resolve ETL process issues. • Perform SQL and SSIS development to enhance our platform. • Monitor Teams/inbox for on-call support requests. • Manage JIRA tickets and balance multiple client priorities.