{"schemaVersion":"jobsearcher.job.v1","id":"95ea44de6bfc99bbcf82c21d","url":"https://jobsearcher.com/jobs/95ea44de6bfc99bbcf82c21d","canonicalUrl":"https://jobsearcher.com/jobs/95ea44de6bfc99bbcf82c21d","title":"Junior Cloud Security Analyst","description":"Title : Databricks Architect/Administrator Location : Hartford, CT (Hybrid) Job Type : 6 Month Contract-to-Hire Compensation : $45 - $55 p/h W2 only (no C2C) Industry: Insurance & Financial Services\n- About the Role Our firm is partnering with a large, highly regulated enterprise in the insurance and financial services sector to identify a senior Databricks Architect / Administrator. This role serves as a technical leader responsible for the design, governance, and ongoing optimization of an enterprise-scale Databricks platform that supports analytics, data engineering, and advanced AI/ML use cases. This position operates as a senior individual contributor and works closely with data engineering, analytics, infrastructure, and security teams. The environment supports a multi-platform data ecosystem, including both modern cloud-native ingestion tools and established enterprise ETL technologies. A strong foundation in Unix/Linux systems administration is essential due to the depth of interaction with the underlying compute and operating environments.\nJob Description\nThe Databricks Architect / Administrator will own platform architecture, operational reliability, cost optimization, and governance for Databricks across the enterprise. This individual is the primary technical authority for Databricks and a key partner in shaping the platform roadmap.\nPlatform Architecture & Design\nArchitect and govern the enterprise Databricks environment, including workspace topology, Unity Catalog structure, and access control models.\nDefine and enforce standards for cluster configurations, runtime versions, instance pools, auto-scaling, and compute strategies.\nDesign scalable and performant data pipeline patterns using Delta Live Tables, Databricks Workflows, and structured streaming.\nEstablish and maintain Delta Lake standards, including table design, partitioning strategies, Z-ordering, and OPTIMIZE/VACUUM schedules.\nLead integration design with upstream ingestion platforms, ensuring reliable, governed data delivery.\nUnix/Linux Infrastructure & Operations\nAdminister and troubleshoot Unix/Linux-based environments that underpin Databricks compute and cluster lifecycle operations.\nDevelop and maintain Bash and Python automation for platform monitoring, maintenance, and operational workflows.\nManage file systems, permissions, and data movement across Linux-based storage and compute layers.\nPartner with infrastructure and cloud teams on VM-level diagnostics, tuning, and performance optimization.\nCost Management & Optimization\nTrack and report Databricks usage and consumption; identify cost optimization opportunities across workloads and environments.\nImplement cost attribution and reporting models to support showback or chargeback by team or business unit.\nSupport capacity planning, forecasting, and long-term commitment utilization in partnership with senior leadership.\nGovernance, Security & Compliance\nDesign and implement governance frameworks within Unity Catalog, including lineage, tagging, and access auditing.\nCollaborate with cybersecurity teams to meet enterprise security controls such as secrets management, encryption, and network isolation.\nSupport audit and compliance efforts through documentation of configurations, access policies, and data standards.\nAutomation & Artificial Intelligence\nBuild automation frameworks for cluster lifecycle management, job orchestration, alerting, and self-healing workflows.\nEnable machine learning operations using Databricks AutoML, MLflow, and Model Serving.\nIntegrate AI-assisted development tools into engineering workflows to accelerate delivery and reduce manual overhead.\nPartner with data science teams on scalable feature engineering, model deployment patterns, and AI-enabled data pipelines.\nEvaluate and recommend new Databricks features, partner integrations, and AI/ML capabilities aligned to enterprise strategy.\nPlatform Leadership & Support\nServe as the primary technical escalation point for Databricks-related issues across engineering and analytics teams.\nParticipate in sprint planning and platform change management using tools such as Jira and ServiceNow.\nProduce and maintain platform documentation, architectural designs, runbooks, and onboarding materials.\nQualifications\n7+ years of experience in data engineering or data platform roles, including at least 4 years of hands-on Databricks experience.\nDeep expertise with Databricks services such as Unity Catalog, Delta Lake, Databricks Workflows, Delta Live Tables, and SQL Warehouses.\nStrong Unix/Linux experience, including shell scripting, process management, file systems, scheduling, and environment configuration.\nProficiency in Python and PySpark for distributed data processing and automation.\nExperience working with cloud platforms (AWS, Azure, or GCP), including compute, storage, networking, and identity/security services.\nProven ability to design scalable, cost-efficient, and reliable enterprise data platforms.\nHands-on experience building automation for orchestration, monitoring, alerting, and platform self-healing.\nWorking knowledge of AI/ML tooling in the Databricks ecosystem, including MLflow and AutoML; exposure to generative AI is beneficial.\nExperience integrating with Oracle databases, including SQL development and data extraction patterns.\nProficiency with Git-based version control, CI/CD pipelines, and collaborative development workflows.\nFamiliarity with IT service management and delivery frameworks such as ServiceNow and Jira.\nStrong communication skills with the ability to explain complex technical concepts to diverse audiences.\nPreferred Qualifications\nHands-on experience with MLflow experiment tracking, model registries, and production deployment.\nExposure to generative AI frameworks (e.g., LangChain, LlamaIndex) or LLM-enabled data workflows such as RAG pipelines.\nExperience with enterprise workflow orchestration platforms such as Databricks Workflows or Apache Airflow.\nBackground integrating Databricks with ETL/ELT platforms; experience with Fivetran or Ab Initio is a strong plus.\nFamiliarity with enterprise data governance tools and practices.\nExperience supporting data platforms in regulated industries such as insurance or financial services.\nKnowledge of Infrastructure-as-Code tools (e.g., Terraform, Ansible).\nExperience designing disaster recovery and resiliency strategies for cloud-based data platforms.\nDahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family's needs. For details, please review the DAHL Benefits Summary: https://www.dahlconsulting.com/benefits-w2fta/ . How to Apply Take the first step on your new career path! To submit yourself for consideration for this role, simply click the apply button and complete our mobile-friendly online application. Once we've reviewed your application details, a recruiter will reach out to you with next steps! Equal Opportunity Statement As an equal opportunity employer, OpenKyber welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!\nFor applications and inquiries, contact: hirings@openkyber.com","company":"Openkyber","rawCompany":"openkyber","city":"Alaska","state":"MI","isRemote":false,"isActive":false,"createdAt":"2026-08-04T16:18:02.772Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Junior Cloud Security Analyst","description":"Title : Databricks Architect/Administrator Location : Hartford, CT (Hybrid) Job Type : 6 Month Contract-to-Hire Compensation : $45 - $55 p/h W2 only (no C2C) Industry: Insurance & Financial Services\n- About the Role Our firm is partnering with a large, highly regulated enterprise in the insurance and financial services sector to identify a senior Databricks Architect / Administrator. This role serves as a technical leader responsible for the design, governance, and ongoing optimization of an enterprise-scale Databricks platform that supports analytics, data engineering, and advanced AI/ML use cases. This position operates as a senior individual contributor and works closely with data engineering, analytics, infrastructure, and security teams. The environment supports a multi-platform data ecosystem, including both modern cloud-native ingestion tools and established enterprise ETL technologies. A strong foundation in Unix/Linux systems administration is essential due to the depth of interaction with the underlying compute and operating environments.\nJob Description\nThe Databricks Architect / Administrator will own platform architecture, operational reliability, cost optimization, and governance for Databricks across the enterprise. This individual is the primary technical authority for Databricks and a key partner in shaping the platform roadmap.\nPlatform Architecture & Design\nArchitect and govern the enterprise Databricks environment, including workspace topology, Unity Catalog structure, and access control models.\nDefine and enforce standards for cluster configurations, runtime versions, instance pools, auto-scaling, and compute strategies.\nDesign scalable and performant data pipeline patterns using Delta Live Tables, Databricks Workflows, and structured streaming.\nEstablish and maintain Delta Lake standards, including table design, partitioning strategies, Z-ordering, and OPTIMIZE/VACUUM schedules.\nLead integration design with upstream ingestion platforms, ensuring reliable, governed data delivery.\nUnix/Linux Infrastructure & Operations\nAdminister and troubleshoot Unix/Linux-based environments that underpin Databricks compute and cluster lifecycle operations.\nDevelop and maintain Bash and Python automation for platform monitoring, maintenance, and operational workflows.\nManage file systems, permissions, and data movement across Linux-based storage and compute layers.\nPartner with infrastructure and cloud teams on VM-level diagnostics, tuning, and performance optimization.\nCost Management & Optimization\nTrack and report Databricks usage and consumption; identify cost optimization opportunities across workloads and environments.\nImplement cost attribution and reporting models to support showback or chargeback by team or business unit.\nSupport capacity planning, forecasting, and long-term commitment utilization in partnership with senior leadership.\nGovernance, Security & Compliance\nDesign and implement governance frameworks within Unity Catalog, including lineage, tagging, and access auditing.\nCollaborate with cybersecurity teams to meet enterprise security controls such as secrets management, encryption, and network isolation.\nSupport audit and compliance efforts through documentation of configurations, access policies, and data standards.\nAutomation & Artificial Intelligence\nBuild automation frameworks for cluster lifecycle management, job orchestration, alerting, and self-healing workflows.\nEnable machine learning operations using Databricks AutoML, MLflow, and Model Serving.\nIntegrate AI-assisted development tools into engineering workflows to accelerate delivery and reduce manual overhead.\nPartner with data science teams on scalable feature engineering, model deployment patterns, and AI-enabled data pipelines.\nEvaluate and recommend new Databricks features, partner integrations, and AI/ML capabilities aligned to enterprise strategy.\nPlatform Leadership & Support\nServe as the primary technical escalation point for Databricks-related issues across engineering and analytics teams.\nParticipate in sprint planning and platform change management using tools such as Jira and ServiceNow.\nProduce and maintain platform documentation, architectural designs, runbooks, and onboarding materials.\nQualifications\n7+ years of experience in data engineering or data platform roles, including at least 4 years of hands-on Databricks experience.\nDeep expertise with Databricks services such as Unity Catalog, Delta Lake, Databricks Workflows, Delta Live Tables, and SQL Warehouses.\nStrong Unix/Linux experience, including shell scripting, process management, file systems, scheduling, and environment configuration.\nProficiency in Python and PySpark for distributed data processing and automation.\nExperience working with cloud platforms (AWS, Azure, or GCP), including compute, storage, networking, and identity/security services.\nProven ability to design scalable, cost-efficient, and reliable enterprise data platforms.\nHands-on experience building automation for orchestration, monitoring, alerting, and platform self-healing.\nWorking knowledge of AI/ML tooling in the Databricks ecosystem, including MLflow and AutoML; exposure to generative AI is beneficial.\nExperience integrating with Oracle databases, including SQL development and data extraction patterns.\nProficiency with Git-based version control, CI/CD pipelines, and collaborative development workflows.\nFamiliarity with IT service management and delivery frameworks such as ServiceNow and Jira.\nStrong communication skills with the ability to explain complex technical concepts to diverse audiences.\nPreferred Qualifications\nHands-on experience with MLflow experiment tracking, model registries, and production deployment.\nExposure to generative AI frameworks (e.g., LangChain, LlamaIndex) or LLM-enabled data workflows such as RAG pipelines.\nExperience with enterprise workflow orchestration platforms such as Databricks Workflows or Apache Airflow.\nBackground integrating Databricks with ETL/ELT platforms; experience with Fivetran or Ab Initio is a strong plus.\nFamiliarity with enterprise data governance tools and practices.\nExperience supporting data platforms in regulated industries such as insurance or financial services.\nKnowledge of Infrastructure-as-Code tools (e.g., Terraform, Ansible).\nExperience designing disaster recovery and resiliency strategies for cloud-based data platforms.\nDahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family's needs. For details, please review the DAHL Benefits Summary: https://www.dahlconsulting.com/benefits-w2fta/ . How to Apply Take the first step on your new career path! To submit yourself for consideration for this role, simply click the apply button and complete our mobile-friendly online application. Once we've reviewed your application details, a recruiter will reach out to you with next steps! Equal Opportunity Statement As an equal opportunity employer, OpenKyber welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!\nFor applications and inquiries, contact: hirings@openkyber.com","datePosted":"2026-08-04T16:18:02.772Z","dateModified":"2026-08-04T16:18:02.772Z","hiringOrganization":{"@type":"Organization","name":"Openkyber","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Alaska","addressRegion":"MI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"95ea44de6bfc99bbcf82c21d"},"url":"https://jobsearcher.com/jobs/95ea44de6bfc99bbcf82c21d"}}