Diligent Corporation
Technology
TechnicalDirector,DataEngineering
Neural analysis suggests this role is
optimal for Director candidates.
“Technical Director, Data Engineering at Diligent Corporation. Skills: Data Engineering, AI Infrastructure, Distributed Systems. Design scalable data platforms. Build scalable data platforms”
What You'll Achieve.
Accelerate delivery of AI-native capabilities; Reduce infrastructure costs; Reduce operational complexity; Improve search performance; Improve ingestion performance; Improve retrieval performance; Improve search relevance; Improve ingestion relevance; Improve retrieval relevance; Teams adopt consistent patterns; Teams adopt maintainable patterns
Industry & Context.
Debugging distributed systems; Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
Significant real-world experience building and operating production systems, Hands-on engineering experience, Python strongly preferred, Experience with Java, Go, or TypeScript is a plus, Experience modernizing legacy platforms, Evolving architectures incrementally
Nice to Have
Experience with large-scale news, document, or regulatory data pipelines, Experience with search relevancy tuning, Exposure to governance, compliance, risk, or enterprise SaaS platforms, Familiarity with modern AI engineering workflows, Experience supporting startup-speed execution, Experience supporting enterprise-scale operations
What You'll Do.
Design scalable data platforms
Build scalable data platforms
Build distributed processing systems
Develop ingestion pipelines
Develop transformation pipelines
Develop retrieval pipelines
Build systems supporting AI/LLM applications
Build systems supporting semantic search
Build systems supporting RAG pipelines
Build systems supporting vector search
Build systems supporting agentic workflows
Implement production-grade solutions
Standardize infrastructure patterns
Improve observability
Improve cost efficiency
Partner with product teams
Partner with platform engineering teams
Drive pragmatic engineering decisions
Mentor engineers technically
Conduct design reviews
Provide architecture guidance
Perform pair debugging
Establish engineering standards
Establish CI/CD standards
Establish testing standards
Establish data quality standards
Establish monitoring standards
Establish operational excellence standards
How You'll Work.
Team & Collaboration
Work across large-scale pipelines; Work across search systems; Work across AI/LLM infrastructure; Work across event-driven architectures; Work across vector databases; Work across analytics platforms; Work across real-time data processing; Discuss high-level architecture; Work hands-on with engineering teams; Partner with product teams; Partner with platform engineering teams
Communication Scope
Discuss architecture
Process & Methodology
CI/CD, Agile
Full Job Description
Diligent is looking for a Technical Director of Data Engineering to help design and build the next generation of data and AI infrastructure powering our products and internal platforms. This is not a traditional management role. We are looking for an experienced builder; someone who still enjoys writing code, debugging distributed systems, evaluating frameworks, and getting hands-on with architecture and implementation. You will work across large-scale ingestion pipelines, search systems, AI/LLM infrastructure, event-driven architectures, vector databases, analytics platforms, and real-time data processing. You should be equally comfortable discussing high-level architecture with senior leadership and diving into a failing Kubernetes pod or optimizing a Spark job. The ideal candidate has strong opinions informed by real-world experience, understands tradeoffs deeply, and can move quickly without creating unnecessary complexity. What You’ll Do Design and build scalable data platforms and distributed processing systems Develop modern ingestion, transformation, and retrieval pipelines for structured and unstructured data Build systems supporting AI/LLM applications, semantic search, RAG pipelines, vector search, and agentic workflows Work hands-on with engineering teams to implement production-grade solutions rather than producing slideware Evaluate and standardize frameworks, tooling, and infrastructure patterns across teams Improve performance, reliability, observability, and cost efficiency of data systems Partner with product and platform engineering teams to accelerate delivery of AI-native capabilities Drive pragmatic engineering decisions balancing speed, maintainability, and operational simplicity Mentor engineers technically through design reviews, architecture guidance, and pair debugging Help establish engineering standards around CI/CD, testing, data quality, monitoring, and operational excellence What We’re Looking For Strong Hands-On Engineering Experienc
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