Lead design, architecture, and delivery of enterprise-scale data and analytics solutions on Databricks Lakehouse Platform, providing technical leadership and consulting to clients.
Responsibilities
Design and architect scalable, secure, high‑performing data platforms
Translate business requirements into technical solutions
Define data strategies and governance frameworks
Drive data platform modernisation, migration and transformation initiatives
Mentor technical teams and support pre‑sales activities
Lead design, architecture, and delivery of enterprise-scale data and analytics solutions on Databricks Lakehouse Platform, providing technical leadership and consulting to clients.
Responsibilities
Design and architect scalable, secure, high‑performing data platforms using Databricks and cloud technologies
Translate business requirements into technical solutions and define data strategies
Lead data platform modernisation, migration, and transformation initiatives
Establish best practices for data management, security, governance, and DevOps
Mentor technical teams and support pre‑sales and solution development activities
Lead the design, onboarding, transformation, validation, and operational support of cybersecurity telemetry and enterprise log data for security monitoring, analytics, reporting, incident response, and cyber data science use cases.
Compensation
Salary Range: $120,000 - $202,500 Annual
Responsibilities
Design, build, and maintain scalable SIEM and security telemetry pipelines across hybrid and multi-cloud environments.
Lead onboarding of security telemetry from applications, infrastructure, endpoints, identity platforms, network devices, cloud services, SaaS tools, databases, and security products.
Analyze source log formats and define onboarding requirements, expected fields, metadata, routing needs, retention considerations, and downstream SIEM/analytics use cases.
Build and optimize telemetry pipelines for parsing, filtering, masking, enrichment, normalization, event breaking, metadata tagging, and multi-destination routing.
Deliver reliable security telemetry to Splunk, Databricks, and other SIEM or cyber analytics platforms.
The role involves building a modern data processing platform for proactive network monitoring, focusing on real-time visibility and automated detection at scale.
Responsibilities
Design, build, and operate reliable, scalable, data-intensive pipelines carrying high-volume device and network telemetry.
Build and evolve stateful, real-time event processing that transforms raw telemetry into meaningful operational events at scale.
Extend and enhance the detection and workflow engine to support client-specific flow paths and parameters.
Partner with product and front-end engineers to expose event and incident monitoring flow in the product experience.
Instrument the platform so engineers can trace events end-to-end and understand system behavior.
Cloud Data Engineer working within the AI & Engineering team to transform technology platforms, design and develop scalable cloud-based data solutions, and manage AI/ML platforms.
Compensation
A reasonable estimate of the current range is $116,200 to $229,100.
Responsibilities
Transform technology platforms and drive innovation
Re-imagine and re-engineer operations and processes critical to business
Build, deploy, and operate cutting-edge engineering capabilities
Design and develop scalable cloud-based data solutions
Lead small engagements and cross-functional teams
Requirements
Bachelor’s degree in computer science, engineering, data science, artificial intelligence, or information technology
Senior SIEM Data EngineerState Street · Quincy, US
Senior Associate Data Engineering Azure/DatabricksPublicis Groupe Holdings B.V · Houston, US
Sr Data Engineering ManagerMcLane · Round Rock, US
Senior Software Engineer - Data InfrastructureCalder · Singapore
Data EngineerProcter & Gamble · Panama, Panama
Cloud Data EngineerDeloitte · Atlanta, US