{"id":1218722,"url":"https://alion.io/job/ey-de-cloud-senior-data-platform-engineer-gdsn02","title":"DE - Cloud - Senior Data Platform Engineer - GDSN02","company":{"id":2859,"name":"Ernst & Young","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Coimbatore, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":43000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bash","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"GDPR","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Grafana","optional":false},{"name":"HIPAA","optional":false},{"name":"IAM","optional":false},{"name":"Jenkins","optional":false},{"name":"PowerShell","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Terraform","optional":false},{"name":"Agile","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Ansible","optional":true},{"name":"AppDynamics","optional":true},{"name":"ArgoCD","optional":true},{"name":"Azure AKS","optional":true},{"name":"Bamboo","optional":true},{"name":"Bitbucket","optional":true},{"name":"ChatGPT","optional":true},{"name":"Chef","optional":true},{"name":"Copilot","optional":true},{"name":"Docker","optional":true},{"name":"Docker Swarm","optional":true},{"name":"Dynatrace","optional":true},{"name":"FluxCD","optional":true},{"name":"Fortify","optional":true},{"name":"GCP","optional":true},{"name":"GitLab CI","optional":true},{"name":"GitOps","optional":true},{"name":"Google GKE","optional":true},{"name":"Groovy","optional":true},{"name":"JFrog Artifactory","optional":true},{"name":"Kubernetes","optional":true},{"name":"Octopus Deploy","optional":true},{"name":"OpenAI","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Puppet","optional":true},{"name":"Scrum","optional":true},{"name":"Selenium","optional":true},{"name":"SonarQube","optional":true},{"name":"Splunk","optional":true},{"name":"Veracode","optional":true}],"status":"live","first_seen_at":"2026-09-25T11:27:52Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-30T02:21:13Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.\nSenior Data Platform Engineer\nThe opportunity\nYour role will be a Technology Lead, or Senior Technology Lead in the Cloud Engineering team. You will be responsible to be a part of the delivery of IT projects for our customers across the globe.\nYour key responsibilities\nArchitect and manage Databricks/Snowflake infrastructure on Azure and AWS, ensuring scalable, secure, and cost-effective deployments.\nEstablish and enforce data governance frameworks (including access controls, lineage, and compliance) across cloud and on-premises environments.\nDesign and implement DataOps and MLOps pipelines for automated data ingestion, transformation, model training, deployment, and monitoring.\nAutomate infrastructure provisioning using Terraform, ARM Templates, or Bicep for Databricks/Snowflake workspaces, clusters, and supporting resources.\nIntegrate Databricks/Snowflake with enterprise CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.) for code, data, and model lifecycle management.\nImplement monitoring, logging, and alerting for Databricks workloads using native and third-party tools (e.g., Azure Monitor, AWS CloudWatch, Datadog).\nOptimize Databricks cluster performance and cost, including autoscaling, spot instance usage, and job scheduling.\nEnsure security best practices: manage secrets, network isolation, encryption, and compliance with organizational and regulatory standards.\nCollaborate with data engineering, analytics, and ML teams to enable seamless integration and workflow automation.\nDrive adoption of DevSecOps practices: integrate security scanning and compliance checks into DataOps/MLOps pipelines.\nLead incident response and root cause analysis for Databricks platform issues, ensuring high availability and reliability.\nDocument architecture, processes, and best practices for knowledge sharing and operational excellence.\nSkills and attributes for success\nExpertise in Databricks/Snowflake administration, including workspace, cluster, and job management.\nStrong knowledge of cloud platforms (Azure, AWS), including networking, IAM, and cost management.\nProficiency in Infrastructure as Code (Terraform, ARM, Bicep) and automation scripting (Python, Bash, PowerShell).\nExperience with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins) and source control (Git).\nDeep understanding of DataOps and MLOps concepts, including orchestration, versioning, and monitoring.\nFamiliarity with data governance tools and frameworks (Unity Catalog, Purview, AWS Lake Formation, etc.).\nAbility to design secure, compliant, and scalable data architectures in multi-cloud environments.\nStrong troubleshooting and performance optimization skills for distributed data and ML workloads.\nExcellent communication and stakeholder management skills; ability to lead cross-functional teams and drive platform adoption.\nExperience with monitoring and observability tools (Datadog, Prometheus, Grafana, Azure Monitor).\nKnowledge of DevSecOps practices and integrating security tools into data pipelines.\nAbility to mentor and upskill teams on Databricks, DataOps, and MLOps best practices.\nStrong analytical and problem-solving skills; ability to assess risks and propose mitigation strategies.\nExperience with regulatory compliance (GDPR, HIPAA, etc.) in cloud data environments is a plus.\nCapability to identify software packages and solutions that could meet client solution requirements and develop requests for proposal (RFP’s) from these vendors. Assist clients in the evaluation of the resulting proposals, including the package capabilities and fit to the requirements (business and technology), vendor proposals for pricing and support.\nCapability to design and developed AI infused DevOps and Platform Engineering framework.\nTo qualify for the role, you must have\nBE/B.Tech/MCA with a sound industry experience of 4 to 8 years\nCloud Computing knowledge in multi cloud environments (Azure, AWS)\nHands-on experience with Databricks administration on Azure and/or AWS, including workspace, cluster, and job management\nDevOps - Setting up CI/CD pipeline using Azure DevOps, GitHub Actions, or GitLab CI\nStrong understanding of DataOps and MLOps practices, including orchestration, monitoring, and governance\nHands-on experience with containerization, including Docker & Kubernetes (AKS/EKS/GKE)\nScripting Knowledge on PowerShell, python, Groovy, Shell Scripting and cloud native CLIs\nMust be good in IAC tools such as Terraform or ARM or Bicep\nMust be good in Config Management Tools such as Ansible or Chef or Puppet\nExpertise in Golden Paths creation for end-to-end developer workflows.\nPreferred Skills\nMicrosoft Certified: DevOps Engineer Expert (AZ-400)\nMicrosoft Certified: Designing Microsoft Azure Infrastructure Solutions (AZ-305)\nMicrosoft Certified: Azure Solutions Architect Expert\nAWS Certified DevOps Engineer - Professional\nAWS Certified Solutions Architect - Associate\nHashicorp Certified: Terraform Associates\nCertified Kubernetes Administrator (CKA)\nGitHub Actions\nGithub Copilot\nGood to have knowledge in Terraform Cloud, Ansible Tower\nYour people responsibilities\nFoster teamwork and lead by example\nParticipating in the organization-wide people initiatives\nAbility to travel in accordance with client and other job requirements\nExcellent written and oral communication skills; writing, publishing, and conference-level presentation skills a plus\nTechnologies and Tools\nCloud platform - Azure, AWS\nSDLC Methodologies: Agile /Scrum\nVersion Control Tools - GitHub/ Bitbucket/GitLab\nCI/CD Automation Tools - Azure DevOps/ Bamboo/ Team City/ Harness/ Octopus\nContainer Management Tools - Docker/Kubernetes/Docker Swarm\nApplication Performance Management Tools - Prometheus/ Dynatrace/ AppDynamics\nMonitoring Tools - Splunk/ Datadog/ Grafana\nIAC Tools - Terraform/ARM Templates/ Bicep\nConfig Management Tools - Chef/ puppet/ Ansible\nTest Automation Tools - Selenium/Cucumber\nArtifact Management Tools - Jfrog Artifactory/Nexus/CloudRepo/Azure Artifactory\nScripting - Python/Groovy/PowerShell/Shell Scripting\nSAST/ DAST: SonarQube / Veracode/ Fortify\nGitOps Tool - Argo CD/ Flux CD\nGenAI Technology - Chat GPT, OpenAI\nWhat we look for\nHas successfully demonstrated CI/CD Automation skills and technologies during many relevant projects\nStrong experience in the use of DevOps Tools and technologies, including container technologies.\nProven experience in Infrastructure Automation (IAC Tools + Config Mgmt. Tool) and experience in Application Automation using Azure DevOps\nWorking experience in Azure and strong knowledge in cloud Architecture strategy.\nGood Exposure in Cloud and Container Monitoring and logging and troubleshooting.\nStrong understanding of Cloud related concepts and technologies, and maintains an in-depth knowledge of the area\nExperience designing and conducting research and experiments with recently developed technologies\nWhat we offer\nEY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations - Argentina, China, India, the Philippines, Poland, and the UK - and with teams from all EY service lines, geographies, and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills, and insights that will stay with you throughout your career.\nContinuous learning: You’ll develop the mindset and skills to navigate whatever comes next.\nSuccess as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.\nTransformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.\nDiverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.\nEY | Building a better working world\nEY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.\nEnabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.\nWorking across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.","description_format":"text","description_chars":8917,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-09-25T11:27:52Z"}],"liveness":{"score":88,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.88,"p_room":1,"age_days":4,"expected_fill_days":22,"reasons":["conf:3","velocity","win:early","comp:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ey-de-cloud-senior-data-platform-engineer-gdsn02","json_url":"https://alion.io/job/ey-de-cloud-senior-data-platform-engineer-gdsn02.json","meta":{"generated_at":"2026-09-30T06:50:20Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4916,"day_limit":5000,"remaining_today":84,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}