OnBoard
Cloud Data Engineer (SQL, AI Search, and Observability)
OnBoard, Indianapolis, Indiana, us, 46262
Cloud Data Engineer (SQL, AI Search, and Observability)
United States
Date: 10.2025
Reports to: Director, Platform Engineering
Location: Remote, United States
Position Summary
As a Cloud Data Engineer, you will be at the intersection of traditional database engineering, modern AI search, and advanced observability practices. This role is ideal for someone who thrives in hybrid environments—combining deep SQL expertise with modern search platforms like Azure AI Search and ElasticSearch. OnBoard is looking for someone who is excited about building intelligent, observable data systems for LLM-powered applications.
You’ll work across structured data platforms, real-time indexing pipelines, and AI-enhanced retrieval systems, ensuring reliability, performance, discoverability, and security. You’ll also contribute to the infrastructure that supports observability for search relevance, query performance, and LLM pipeline diagnostics.
Key Responsibilities
Design, deploy, and operate Microsoft SQL Server workloads across Azure IaaS (VM) and PaaS (Azure SQL DB / SQL Managed Instance).
Build, scale, and tune AI Search and ElasticSearch clusters, pipelines, and relevance models for both keyword and semantic search.
Collaborate with developers and ML teams to build retrieval pipelines for LLM applications, including vector indexing, prompt metadata enrichment, and embeddings.
Integrate observability into all layers of the data/search stack.
Analyze and optimize SQL queries and indexing strategies using Query Store, DMVs, and execution plans.
Secure data access using encryption (TDE, Always Encrypted), private endpoints, and RBAC.
Automate recurring operations using PowerShell/Azure DevOps Pipelines, including job scheduling, alerting, index maintenance and schema validation.
Implement Infrastructure‑as‑Code (IaC) for SQL and search platforms using Bicep.
Drive incident resolution and root cause analysis for issues across SQL, search, and LLM pipelines.
Maintain technical documentation and operational runbooks for the combined SQL + Search + AI infrastructure.
Skills and Experience Needed
3–5 years of experience managing Microsoft SQL Server in production, both IaaS and PaaS.
Strong experience with full‑text and semantic search using Azure Cognitive Search and/or ElasticSearch.
Experience building or maintaining RAG/LLM architectures, including vector stores, embedding generation, and retrieval APIs.
Proficiency in tuning and debugging database performance (wait stats, execution plans, indexing).
Hands‑on experience with observability platforms and standards (OpenTelemetry, Grafana, APM tools, etc.).
Automation scripting with PowerShell or Python.
Proficiency with Infrastructure‑as‑Code (Bicep, Terraform, ARM templates).
Familiarity with compliance, RBAC, and secure data practices in cloud environments.
Bonus: experience instrumenting and debugging LLM inference chains or vector database retrieval quality.
Business Acumen, Customer Focus, Working Effectively with Ambiguity, Decision Making, Driving for Results, Initiating Action, Technical Knowledge.
About the Company OnBoard is a global board management platform that helps boards function at a higher level, enabling more impactful decision‑making across education, nonprofit, healthcare, government, and enterprise sectors. Launched in 2011, OnBoard serves over 5,000 organizations and their 12,000 boards worldwide.
Benefits and Perks
Company‑provided laptop, software, and equipment.
Employer‑paid extended health benefits, including medical, dental, and vision plans.
Health Savings Account (HSA) and Flexible Spending Accounts.
Basic life insurance and disability coverage.
401(k) retirement savings plan with company match.
Paid time off (PTO) and company holidays.
Remote‑friendly work environment.
Equal Employment Opportunity Statement OnBoard is an equal‑opportunity employer and is committed to a diverse and inclusive working environment. We do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. For individuals with disabilities who would like to request an accommodation, please email peopleops@onboard.com.
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Date: 10.2025
Reports to: Director, Platform Engineering
Location: Remote, United States
Position Summary
As a Cloud Data Engineer, you will be at the intersection of traditional database engineering, modern AI search, and advanced observability practices. This role is ideal for someone who thrives in hybrid environments—combining deep SQL expertise with modern search platforms like Azure AI Search and ElasticSearch. OnBoard is looking for someone who is excited about building intelligent, observable data systems for LLM-powered applications.
You’ll work across structured data platforms, real-time indexing pipelines, and AI-enhanced retrieval systems, ensuring reliability, performance, discoverability, and security. You’ll also contribute to the infrastructure that supports observability for search relevance, query performance, and LLM pipeline diagnostics.
Key Responsibilities
Design, deploy, and operate Microsoft SQL Server workloads across Azure IaaS (VM) and PaaS (Azure SQL DB / SQL Managed Instance).
Build, scale, and tune AI Search and ElasticSearch clusters, pipelines, and relevance models for both keyword and semantic search.
Collaborate with developers and ML teams to build retrieval pipelines for LLM applications, including vector indexing, prompt metadata enrichment, and embeddings.
Integrate observability into all layers of the data/search stack.
Analyze and optimize SQL queries and indexing strategies using Query Store, DMVs, and execution plans.
Secure data access using encryption (TDE, Always Encrypted), private endpoints, and RBAC.
Automate recurring operations using PowerShell/Azure DevOps Pipelines, including job scheduling, alerting, index maintenance and schema validation.
Implement Infrastructure‑as‑Code (IaC) for SQL and search platforms using Bicep.
Drive incident resolution and root cause analysis for issues across SQL, search, and LLM pipelines.
Maintain technical documentation and operational runbooks for the combined SQL + Search + AI infrastructure.
Skills and Experience Needed
3–5 years of experience managing Microsoft SQL Server in production, both IaaS and PaaS.
Strong experience with full‑text and semantic search using Azure Cognitive Search and/or ElasticSearch.
Experience building or maintaining RAG/LLM architectures, including vector stores, embedding generation, and retrieval APIs.
Proficiency in tuning and debugging database performance (wait stats, execution plans, indexing).
Hands‑on experience with observability platforms and standards (OpenTelemetry, Grafana, APM tools, etc.).
Automation scripting with PowerShell or Python.
Proficiency with Infrastructure‑as‑Code (Bicep, Terraform, ARM templates).
Familiarity with compliance, RBAC, and secure data practices in cloud environments.
Bonus: experience instrumenting and debugging LLM inference chains or vector database retrieval quality.
Business Acumen, Customer Focus, Working Effectively with Ambiguity, Decision Making, Driving for Results, Initiating Action, Technical Knowledge.
About the Company OnBoard is a global board management platform that helps boards function at a higher level, enabling more impactful decision‑making across education, nonprofit, healthcare, government, and enterprise sectors. Launched in 2011, OnBoard serves over 5,000 organizations and their 12,000 boards worldwide.
Benefits and Perks
Company‑provided laptop, software, and equipment.
Employer‑paid extended health benefits, including medical, dental, and vision plans.
Health Savings Account (HSA) and Flexible Spending Accounts.
Basic life insurance and disability coverage.
401(k) retirement savings plan with company match.
Paid time off (PTO) and company holidays.
Remote‑friendly work environment.
Equal Employment Opportunity Statement OnBoard is an equal‑opportunity employer and is committed to a diverse and inclusive working environment. We do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. For individuals with disabilities who would like to request an accommodation, please email peopleops@onboard.com.
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