{"schemaVersion":"jobsearcher.job.v1","id":"8e59be6552cf51fe7cd3c4aa","url":"https://jobsearcher.com/jobs/8e59be6552cf51fe7cd3c4aa","canonicalUrl":"https://jobsearcher.com/jobs/8e59be6552cf51fe7cd3c4aa","title":"Engineering Manager - Database Engineering","description":"Engineering Manager, Database EngineeringLocation: Chicago, IL, United StatesWork arrangement: HybridResponsibilities:Lead and develop database engineers through technical direction, coaching, hiring, performance management, and capacity planning.Design and deliver database solutions for high-volume, high-transaction applications. Guide data modeling, schema changes, migration planning, indexing, query tuning, availability, and recovery.Review code, SQL, database designs, deployment plans, and production incidents. Contribute directly to complex engineering work when the team needs your judgment or hands-on expertise.Own the database engineering practices that support secure access, data quality, lineage, observability, and reliable operations. Evaluate SAST findings and work with security partners to resolve relevant risks.Turn product and engineering needs into clear, versioned specifications with explicit constraints, acceptance criteria, tests, and review points. Guide the team as it executes that work through AI DLC Units and Bolts.Champion effective use of AI coding assistants and agentic tools. Establish reusable instructions and skills, including familiarity with standards such as Agent Skills, while keeping human review proportionate to the risk of each change.Track and explain delivery and quality using appropriate measures, including DORA metrics, Unit completion, Bolt flow, review time, rework, operational reliability, and AI spend. Use the measures to identify constraints and improve outcomes rather than treating any single measure as an individual productivity score.Lead teams that use Agile and Scrum while helping them adopt AI DLC practices. Adjust planning, reviews, and reporting as specifications and system-generated evidence replace work that teams previously tracked through ceremonies.Partner with product, application engineering, quality assurance, security, and operations to plan dependencies, validate changes, coordinate releases, and resolve production issues. Participate in the appropriate on-call or incident escalation process.Give leadership a clear account of delivery progress, technical risk, team capacity, and decisions that require attention.Qualifications Required:A bachelor’s degree in computer science or a related field, or equivalent practical experience.Significant experience in software or data engineering, including at least five years managing engineers and substantial hands-on database engineering experience.Deep experience with Microsoft SQL Server, T-SQL, relational data design, schema management, query performance, and production database operations.Experience with data integration and ETL or ELT, along with a working understanding of data governance, lineage, observability, and protection of sensitive data.Experience leading technical design and code reviews, managing production risk, and working with CI/CD pipelines and cloud environments.Practical experience using AI coding assistants or agentic development tools. You can describe how to write a useful specification, constrain an agent’s work, test its output, and decide when a human must approve a change.Familiarity with AI DLC and spec driven development or demonstrated experience establishing comparable practices that use explicit specifications, automated validation, and human oversight.Experience leading teams through Agile and Scrum delivery, with the judgment to adapt those practices as AI DLC changes how work moves from intent to production.Ability to define, interpret, and report engineering measures such as DORA metrics and flow measures without confusing activity with results.Preferred Experience:Experience with Azure data services and tools such as Azure Data Factory, Azure Synapse, Microsoft Fabric, Databricks, SSIS, Python, or PySpark.Experience with data lakes or lakehouses, Azure DevOps, and automated database deployment.Familiarity with Agent Skills or similar standards for reusable agent instructions and workflows.Experience with .NET applications, APIs, and service integrations that depend on relational data platforms.Experience modernizing established systems while maintaining security, reliability, and business continuity.General Requirements:Bachelor's degree in computer science15+ years of total experience in software development5+ years of professional management experience8+ years of professional Data Engineering and Microsoft.NET development and architecture experience.","company":"Ideaon","rawCompany":"ideaon","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-11-12T09:41:04.559Z","occupations":[{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Engineering Manager - Database Engineering","description":"Engineering Manager, Database EngineeringLocation: Chicago, IL, United StatesWork arrangement: HybridResponsibilities:Lead and develop database engineers through technical direction, coaching, hiring, performance management, and capacity planning.Design and deliver database solutions for high-volume, high-transaction applications. Guide data modeling, schema changes, migration planning, indexing, query tuning, availability, and recovery.Review code, SQL, database designs, deployment plans, and production incidents. Contribute directly to complex engineering work when the team needs your judgment or hands-on expertise.Own the database engineering practices that support secure access, data quality, lineage, observability, and reliable operations. Evaluate SAST findings and work with security partners to resolve relevant risks.Turn product and engineering needs into clear, versioned specifications with explicit constraints, acceptance criteria, tests, and review points. Guide the team as it executes that work through AI DLC Units and Bolts.Champion effective use of AI coding assistants and agentic tools. Establish reusable instructions and skills, including familiarity with standards such as Agent Skills, while keeping human review proportionate to the risk of each change.Track and explain delivery and quality using appropriate measures, including DORA metrics, Unit completion, Bolt flow, review time, rework, operational reliability, and AI spend. Use the measures to identify constraints and improve outcomes rather than treating any single measure as an individual productivity score.Lead teams that use Agile and Scrum while helping them adopt AI DLC practices. Adjust planning, reviews, and reporting as specifications and system-generated evidence replace work that teams previously tracked through ceremonies.Partner with product, application engineering, quality assurance, security, and operations to plan dependencies, validate changes, coordinate releases, and resolve production issues. Participate in the appropriate on-call or incident escalation process.Give leadership a clear account of delivery progress, technical risk, team capacity, and decisions that require attention.Qualifications Required:A bachelor’s degree in computer science or a related field, or equivalent practical experience.Significant experience in software or data engineering, including at least five years managing engineers and substantial hands-on database engineering experience.Deep experience with Microsoft SQL Server, T-SQL, relational data design, schema management, query performance, and production database operations.Experience with data integration and ETL or ELT, along with a working understanding of data governance, lineage, observability, and protection of sensitive data.Experience leading technical design and code reviews, managing production risk, and working with CI/CD pipelines and cloud environments.Practical experience using AI coding assistants or agentic development tools. You can describe how to write a useful specification, constrain an agent’s work, test its output, and decide when a human must approve a change.Familiarity with AI DLC and spec driven development or demonstrated experience establishing comparable practices that use explicit specifications, automated validation, and human oversight.Experience leading teams through Agile and Scrum delivery, with the judgment to adapt those practices as AI DLC changes how work moves from intent to production.Ability to define, interpret, and report engineering measures such as DORA metrics and flow measures without confusing activity with results.Preferred Experience:Experience with Azure data services and tools such as Azure Data Factory, Azure Synapse, Microsoft Fabric, Databricks, SSIS, Python, or PySpark.Experience with data lakes or lakehouses, Azure DevOps, and automated database deployment.Familiarity with Agent Skills or similar standards for reusable agent instructions and workflows.Experience with .NET applications, APIs, and service integrations that depend on relational data platforms.Experience modernizing established systems while maintaining security, reliability, and business continuity.General Requirements:Bachelor's degree in computer science15+ years of total experience in software development5+ years of professional management experience8+ years of professional Data Engineering and Microsoft.NET development and architecture experience.","datePosted":"2026-11-12T09:41:04.559Z","dateModified":"2026-11-12T09:41:04.559Z","hiringOrganization":{"@type":"Organization","name":"Ideaon","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8e59be6552cf51fe7cd3c4aa"},"url":"https://jobsearcher.com/jobs/8e59be6552cf51fe7cd3c4aa"}}