• Serve as the technical lead for APAC and help build the region • Embed with enterprise customers, taking them from first evaluation to production deployment • Own how Stacklok lands with every customer in the region • Shape technical direction across APAC, establish deployment patterns, and mentor engineers • Solve problems determining whether AI initiatives successfully reach production • Adapt forward deployed work to how local customers operate

• Design, develop, and maintain scalable data pipelines and ELT/ETL workflows on Snowflake, integrating data from diverse internal and external sources. • Architect and optimize Snowflake data models, schemas, and warehouses for performance, reliability, and cost efficiency. • Implement and enforce data governance, security, role-based access controls, and data quality standards across the platform. • Monitor and tune warehouse performance, query execution, and resource consumption to control costs and meet SLAs. • Build and maintain CI/CD pipelines for data infrastructure using tools such as dbt, Git, and orchestration frameworks (e.g., Airflow). • Leverage advanced Snowflake features — Snowpipe, Streams, Tasks, Time Travel, Dynamic Tables, and Snowpark — to deliver near-real-time and automated data solutions. • Collaborate with analysts, data scientists, and business stakeholders to translate requirements into robust data solutions. • Mentor junior engineers, conduct code reviews, and establish best practices for data engineering across the team.

• Architect, build, and maintain scalable ETL/ELT pipelines on the Databricks Lakehouse Platform using PySpark, Spark SQL, and Delta Lake. • Design and implement medallion (bronze/silver/gold) data architectures and enforce data quality, governance, and lineage standards. • Optimize Spark jobs and cluster configurations for performance and cost, including partitioning, caching, and autoscaling strategies. • Implement and manage Unity Catalog for access control, data governance, and cross-workspace asset sharing. • Build and orchestrate workflows using Databricks Workflows, Delta Live Tables, and CI/CD pipelines. • Collaborate with data scientists, analysts, and business stakeholders to translate requirements into reliable data products. • Establish engineering best practices, conduct code reviews, and mentor junior data engineers. • Monitor production pipelines, troubleshoot failures, and drive root-cause analysis and continuous improvement.

• Architect and manage BMS integration across colocation and Lambda-owned facilities, covering chillers, CRAHs, CDUs (Coolant Distribution Units), cooling towers, UPS systems, PDUs, and automatic transfer switches. • Define standards for BMS point lists, naming conventions, control sequences, and integration protocols (BACnet, Modbus, SNMP, OPC-UA, RESTful APIs). • Oversee commissioning and acceptance testing of new BMS deployments and CDU/TCS loop integrations for next-generation liquid-cooled GPU rack systems. • Collaborate with colocation partners (Equinix, Digital Realty, and others) to ensure telemetry data flows from provider BMS/EPMS into Lambda's monitoring stack. • Own the DCIM platform strategy and roadmap — evaluating, selecting, and implementing tooling for asset management, capacity planning, environmental monitoring, and power chain visibility. • Develop and maintain real-time dashboards for PUE, thermal performance, stranded capacity, and cooling system efficiency across all Lambda sites. • Build and maintain telemetry pipelines ingesting data from BMS, PDUs, in-rack sensors, CDUs, and network devices into centralized monitoring and alerting platforms (e.g., Prometheus, Grafana, InfluxDB, or equivalent). • Define alarm thresholds and escalation workflows for critical facility events including high coolant temperatures, CDU inlet/outlet anomalies, leak detection, and power exceedances. • Develop control strategies and setpoint frameworks for TCS (Thermal Control System) loops supporting direct liquid cooling at densities of 220–380 kW per rack. • Evaluate and qualify CDU vendors on controls integration capabilities, telemetry exposure, and remote management interfaces. • Define and enforce operational procedures for CDU commissioning, setpoint changes, loop pressure management, and fluid quality monitoring. • Support design and construction coordination for liquid cooling infrastructure in new data center buildouts, ensuring BMS and controls readiness at Day 1. • Establish and maintain facility event management processes, including on-call response protocols for facility telemetry anomalies. • Lead root cause analysis for facility system failures and implement corrective actions to prevent recurrence. • Partner with the data center operations team to maintain and refine emergency response runbooks tied to BMS alerts and automated controls. • Drive continuous improvement in MTTR for facility-related events through better telemetry coverage and automated remediation. • Manage BMS integrators, DCIM vendors, and control subcontractors - from RFP through design, installation, commissioning, and ongoing support. • Serve as the primary technical interface with colocation providers on all BMS/EPMS integration topics. • Collaborate with Lambda's infrastructure engineering, construction, and procurement teams to align controls requirements with facility buildout timelines. • Support due diligence and technical evaluation for new colocation sites and modular data center deployments from a telemetry and controls readiness perspective.