{"id":3702445,"url":"https://alion.io/job/ensemble-health-partners-sr-platform-engineer-data","title":"Sr Platform Engineer, Data","company":{"id":1996798,"name":"Ensemble Health Partners","domain":"ensemblehp.com","url":"https://alion.io/company/ensemblehp","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":20,"ghost_share":0,"stale_share":0.65,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-11-08T05:47:12Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":101600,"max":152400,"currency":"USD","period":"year","gross":null,"usd_annual":152400},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Active Directory","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"DNS","optional":false},{"name":"FinOps","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Threat Modeling","optional":false},{"name":"Trunk-Based Development","optional":false},{"name":"Vault","optional":false},{"name":"VPN","optional":false},{"name":"Feature Store","optional":true},{"name":"HL7","optional":true}],"status":"closed","first_seen_at":"2026-11-02T00:00:00Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-05T15:56:41Z","board_verified":false,"closed_at":"2026-11-05T15:56:41Z","days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"Thank you for considering a career at Ensemble!\nEnsemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.\nEnsemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference!\nO.N.E Purpose:\nCustomer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.\n\nEmbracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.\n\nStriving for Excellence: Execute at a high level by demonstrating our “Best in KLAS” Ensemble Difference Principles and consistently delivering outstanding results.\n\nThe Opportunity:\nJOB SUMMARY\nBy embodying our core purpose of customer obsession, new ideas, and driving innovation, you will help ensure that every touchpoint is meaningful and contributes to our mission of redefining the possible in healthcare.\nAs a Senior Platform Engineer, you are a hands-on technical engineer who sits at the intersection of data engineering, cloud platform, and networking - building the infrastructure and pipelines that make Ensemble's data platform reliable, secure, and scalable. You will design and implement Azure-based platform solutions, author data pipelines, harden network architecture, and apply solid software engineering discipline across everything you ship.\nThis is primarily a delivery role. You will spend the majority of your time writing code, configuring infrastructure, reviewing pull requests, and solving hard operational problems - not managing people or setting org-wide strategy. You bring strong opinions about platform reliability, cloud cost, and network security, and you translate those opinions into running systems.\nWe are open to strong cloud/platform engineers who want to go deep on data, and to strong data engineers who have grown into platform and networking responsibility. What matters is that you have done hard, hands-on work at the intersection of these disciplines - you understand both why a pipeline fails and why a Private Endpoint DNS record is wrong, and you are comfortable owning both.\nJOB COMPETENCIES\nPlatform & Cloud Engineering - Designs, builds, and operates Azure-based platform infrastructure - compute, storage, networking, identity, and security - with a bias toward infrastructure as code, repeatability, and operational simplicity; balances speed of delivery with platform reliability and cost efficiency.\nData Engineering Depth - Delivers scalable, well-tested data pipelines and transformations on Databricks and Azure Data Factory; applies sound data modeling, performance tuning, and data quality discipline as standard practice rather than afterthoughts.\nNetwork & Security Awareness - Understands Azure networking constructs - VNets, subnets, NSGs, Private Endpoints, DNS, and ExpressRoute/VPN - and applies them correctly in platform design; proactively identifies and closes network attack surface without creating unnecessary friction for engineering teams.\nSoftware Engineering Craft - Writes clean, testable, maintainable code; participates actively in code and design reviews; treats CI/CD and automated testing as the default way of working; holds a high bar for version control hygiene and deployment safety.\nOperational Ownership - Takes end-to-end accountability for the platform components and pipelines in scope - from initial design through production monitoring, incident response, and continuous improvement; does not hand off and walk away.\nTechnical Communication - Communicates clearly with both engineering peers and non-technical stakeholders; can explain complex networking or data platform trade-offs to a product manager or a VP without losing the audience or oversimplifying the substance.\nContinuous Learning & AI Fluency - Stays current with the Azure, Databricks, and data engineering ecosystem; consistently applies generative AI tools to accelerate engineering work, improve code quality, and troubleshoot complex systems.\nESSENTIAL JOB FUNCTIONS\nCustomer Obsession, New Ideas, Striving for Excellence\nConsistently deliver high-quality platform and data solutions that improve the reliability, speed, and accuracy of data reaching internal and external stakeholders.\nApply generative AI tools in day-to-day engineering work to accelerate development, improve code quality, troubleshoot complex systems, and design scalable solutions.\nData Pipeline & Platform Engineering\nDesign, build, test, deploy, monitor, and continuously improve scalable data pipelines using Azure Data Factory, Databricks, Apache Spark, and Python.\nImplement Delta Lake patterns on Azure Data Lake Storage (ADLS) including table design, schema evolution, Z-ordering, VACUUM, and partition strategies.\nBuild and maintain event-driven integrations using Azure Service Bus, Event Hub, and Azure Functions to support real-time and near-real-time data flows.\nImplement data quality monitoring frameworks - row counts, schema validation, null checks, freshness SLAs - as first-class pipeline components.\nDevelop reusable pipeline templates and platform abstractions that accelerate delivery across the data engineering team.\nTranslate product and business requirements into incremental, testable technical deliverables with clear acceptance criteria.\nAzure Cloud Platform & Infrastructure\nProvision and manage Azure infrastructure using infrastructure as code (Terraform, Bicep, or ARM templates), treating all platform configuration as version-controlled code.\nDesign and operate Azure-native services including Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, Microsoft Fabric (or Synapse), Azure Key Vault, and Azure Monitor.\nManage identity and access controls using Azure Active Directory, Managed Identities, RBAC, and Unity Catalog - applying least-privilege principles across all platform components.\nImplement platform-level observability: pipeline SLAs, workload performance dashboards, alerting, and cost tracking via Azure Monitor, Log Analytics, and Databricks system tables.\nContribute to FinOps practices by monitoring compute costs, right-sizing clusters, configuring auto-termination policies, and flagging cost anomalies.\nSupport containerized workloads running on Azure Kubernetes Service (AKS) where data platform components require container-based deployment patterns.\nNetworking & Security\nDesign and implement secure Azure networking architectures for data platform workloads - VNets, subnets, NSGs, Private Endpoints, Private DNS Zones, and service endpoints - eliminating unnecessary public internet exposure for PaaS services.\nConfigure, troubleshoot, and document Private Link connectivity across Azure PaaS services (ADLS, Azure SQL, Key Vault, Event Hub, Databricks); diagnose DNS resolution issues and routing problems end-to-end.\nApply encryption-in-transit and encryption-at-rest standards; maintain TLS configurations, key rotation policies, and secret management practices in line with security baselines; participate in security reviews and threat modeling for new platform components.\nPartner with Cloud and Infrastructure teams on hub-and-spoke or landing zone network topologies; configure and validate firewall rules and IP allowlisting in a way that balances security posture with engineering team productivity.\nCI/CD, DevOps & Engineering Standards\nBuild and maintain CI/CD pipelines in Azure DevOps that automate testing, validation, and deployment of data pipelines, notebooks, and infrastructure code.\nFollow and actively contribute to branching strategies, pull request standards, and code review practices; flag gaps or inconsistencies in existing workflows and propose improvements.\nWrite unit, integration, and data quality tests as standard deliverables - not optional additions after the feature is shipped.\nContribute to engineering standards and pattern libraries, ensuring consistency across pipelines and reducing onboarding friction for new team members.\nSoftware Engineering & Architecture\nWrite well-structured, maintainable Python and SQL code; apply design patterns, modular decomposition, and API design principles appropriate to the problem at hand.\nParticipate in design sessions and architecture discussions, contributing hands-on perspective on what is feasible and what the operational implications of design choices will be.\nConduct thorough code and design reviews that raise the engineering bar across the team.\nIdentify and address technical debt within owned platform components in a planned, incremental way.\nCross-Functional Collaboration & Mentorship\nPartner with data engineering, analytics, data science, and cloud/infrastructure peers to deliver integrated platform solutions.\nProvide mentorship to junior and mid-level engineers through code reviews, pair programming, and technical guidance.\nCommunicate platform capabilities, limitations, and trade-offs clearly to product and business stakeholders.\nEMPLOYMENT QUALIFICATIONS\nRequired Skills & Experience\n6+ years of hands-on engineering experience, with meaningful time spent across data engineering and cloud platform or infrastructure domains.\n3+ years working with Microsoft Azure services in a production environment (ADF, ADLS Gen2, Databricks, Azure Functions, Service Bus, Event Hub, Azure Monitor).\n2+ years of hands-on Azure networking experience: VNets, NSGs, Private Endpoints, Private DNS, service endpoints, and firewall configurations.\n2+ years developing with Apache Spark and Databricks, including Delta Lake table design, schema evolution, and performance optimization.\n4+ years of production SQL development - complex transformations, query tuning, indexing, and data modeling at enterprise scale.\nStrong Python development skills applied to data engineering, pipeline orchestration, or platform tooling.\nDemonstrated experience with infrastructure as code (Terraform preferred; Bicep or ARM acceptable).\nHands-on experience building and maintaining CI/CD pipelines in Azure DevOps; familiarity with trunk-based development and pull request workflows.\nExperience with event-driven architectures using Azure Service Bus, Event Hub, or equivalent messaging platforms.\nWorking knowledge of Azure identity and access management: Azure AD, Managed Identities, RBAC, and Key Vault.\nStrong understanding of engineering fundamentals: automated testing, code reviews, telemetry, iterative delivery, and DevOps.\nPreferred Qualifications\nFamiliarity with data platform security and governance: Unity Catalog, column-level security, data masking, and audit logging.\nBackground in software engineering (APIs, microservices, or distributed systems) that informs platform design and operationalization decisions.\nExperience with polyglot storage architectures: relational, columnar (Parquet/Delta), key-value, or graph systems.\nExposure to healthcare datasets; familiarity with HL7 or EDI standards is a plus.\nExperience supporting AI/ML or advanced analytics workloads - feature stores, training data pipelines, or model serving infrastructure.\nFamiliarity with AKS, container networking, and Kubernetes-based workload deployment patterns.\nAzure certifications relevant to the role (e.g., AZ-305, DP-203, AZ-700) are a plus, but not a substitute for demonstrated hands-on experience.\nFamiliarity with FinOps practices, Databricks cost management, and Azure cost optimization tooling.\nEducation\nBachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.\nWORKI...","description_format":"text","description_chars":15552,"description_truncated":true,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Equity","Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Revenue Cycle & Medical Billing"],"lifecycle":[{"event":"open","at":"2026-11-03T20:00:38Z"},{"event":"close","at":"2026-11-05T15:56:41Z"}],"visa":[],"liveness":null,"pay":{"stated_usd_annual":152400,"is_top_pay":false},"html_url":"https://alion.io/job/ensemble-health-partners-sr-platform-engineer-data","json_url":"https://alion.io/job/ensemble-health-partners-sr-platform-engineer-data.json","meta":{"generated_at":"2026-11-09T04:01:38Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":2800,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1996798},"rest":"https://alion.io/mcp/rest/get_company?id=1996798"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fensemble-health-partners-sr-platform-engineer-data"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fensemble-health-partners-sr-platform-engineer-data"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fensemble-health-partners-sr-platform-engineer-data"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ensemble-health-partners-sr-platform-engineer-data\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fensemble-health-partners-sr-platform-engineer-data"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3702445}},{"tool":"search_jobs","arguments":{"company":"ensemblehp.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3702445},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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