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Ernst & Young

Global professional services: consulting, assurance, tax

DE – Senior Data Platform Engineer - Cloud, Gdsn02

Platform EngineeringUpdated on Nov 14
Full-timeChennai, Tamil Nadu, IndiaNo salary listed

About the Job

Requirements

  • Expertise in Databricks and Snowflake administration, including workspace, cluster, and job management.
  • Strong knowledge of Azure and AWS cloud platforms, including networking, identity and access management, and cost management.
  • Proficiency in infrastructure as code using Terraform, ARM templates, or Bicep, and automation scripting with Python, Bash, or PowerShell.
  • Experience with continuous integration and continuous delivery tools such as Azure DevOps, GitHub Actions, or Jenkins, and source control with Git.
  • Deep understanding of DataOps and MLOps concepts, including orchestration, versioning, and monitoring.
  • Familiarity with data governance tools and frameworks such as Unity Catalog, Purview, and AWS Lake Formation.
  • Ability to design secure, compliant, and scalable data architectures in multi-cloud environments.
  • Strong troubleshooting and performance optimization skills for distributed data and machine-learning workloads.
  • Experience with monitoring and observability tools such as Datadog, Prometheus, Grafana, and Azure Monitor.
  • Knowledge of DevSecOps practices and integrating security tools into data pipelines.
  • Ability to mentor and upskill teams on Databricks, DataOps, and MLOps best practices.
  • Strong analytical and problem-solving skills, including assessing risks and proposing mitigation strategies.
  • Capability to identify software packages and solutions that could meet client requirements, develop vendor requests for proposal, and assist clients in evaluating proposals for capabilities, fit, pricing, and support.
  • Capability to design and develop artificial intelligence-infused DevOps and platform engineering frameworks.
  • Bachelor of Engineering, Bachelor of Technology, or Master of Computer Applications, with 4 to 8 years of industry experience.
  • Knowledge of cloud computing in multi-cloud environments, including Azure and AWS.
  • Hands-on experience administering Databricks on Azure and/or AWS, including workspace, cluster, and job management.
  • Experience setting up continuous integration and continuous delivery pipelines using Azure DevOps, GitHub Actions, or GitLab CI.
  • Strong understanding of DataOps and MLOps practices, including orchestration, monitoring, and governance.
  • Hands-on experience with containerization, including Docker and Kubernetes (AKS, EKS, or GKE).
  • Scripting knowledge in PowerShell, Python, Groovy, shell scripting, and cloud-native command-line interfaces.
  • Knowledge of infrastructure-as-code tools such as Terraform, ARM, or Bicep.
  • Knowledge of configuration-management tools such as Ansible, Chef, or Puppet.
  • Expertise creating golden paths for end-to-end developer workflows.
  • Ability to travel in accordance with client and other job requirements.
  • Excellent written and oral communication skills; conference-level presentation skills are a plus.
  • Demonstrated continuous-integration and continuous-delivery automation skills and technologies across relevant projects.
  • Strong experience using DevOps tools and technologies, including container technologies.
  • Proven experience in infrastructure automation using infrastructure-as-code and configuration-management tools, and application automation using Azure DevOps.
  • Working experience with Azure and strong knowledge of cloud architecture strategy.
  • Exposure to cloud and container monitoring, logging, and troubleshooting.
  • Strong understanding of cloud-related concepts and technologies, with in-depth knowledge of the area.
  • Experience designing and conducting research and experiments with recently developed technologies.

Responsibilities

  • Architect and manage Databricks and Snowflake infrastructure on Azure and AWS, ensuring scalable, secure, and cost-effective deployments.
  • Establish and enforce data governance frameworks, including access controls, lineage, and compliance, across cloud and on-premises environments.
  • Design and implement DataOps and MLOps pipelines for automated data ingestion, transformation, model training, deployment, and monitoring.
  • Automate infrastructure provisioning using Terraform, ARM templates, or Bicep for Databricks and Snowflake workspaces, clusters, and supporting resources.
  • Integrate Databricks and Snowflake with enterprise continuous integration and continuous delivery pipelines, including Azure DevOps, GitHub Actions, and Jenkins, for code, data, and model lifecycle management.
  • Implement monitoring, logging, and alerting for Databricks workloads using native and third-party tools such as Azure Monitor, AWS CloudWatch, and Datadog.
  • Optimize Databricks cluster performance and cost, including autoscaling, spot instance usage, and job scheduling.
  • Ensure security best practices by managing secrets, network isolation, and encryption, and complying with organizational and regulatory standards.
  • Collaborate with data engineering, analytics, and machine-learning teams to enable seamless integration and workflow automation.
  • Drive adoption of DevSecOps practices by integrating security scanning and compliance checks into DataOps and MLOps pipelines.
  • Lead incident response and root-cause analysis for Databricks platform issues, ensuring high availability and reliability.
  • Document architecture, processes, and best practices for knowledge sharing and operational excellence.
  • Foster teamwork and lead by example.
  • Participate in organization-wide people initiatives.
  • Demonstrate continuous-integration and continuous-delivery automation skills and technologies in relevant projects.
  • Use DevOps tools and technologies, including container technologies.
  • Perform infrastructure automation and application automation using Azure DevOps.
  • Work with Azure cloud architecture, monitoring, logging, and troubleshooting.
  • Design and conduct research and experiments with recently developed technologies.

Desired Qualifications

  • Experience with regulatory compliance such as GDPR and HIPAA in cloud data environments.
  • Microsoft Certified: DevOps Engineer Expert (AZ-400).
  • Microsoft Certified: Designing Microsoft Azure Infrastructure Solutions (AZ-305).
  • Microsoft Certified: Azure Solutions Architect Expert.
  • AWS Certified DevOps Engineer – Professional.
  • AWS Certified Solutions Architect – Associate.
  • HashiCorp Certified: Terraform Associate.
  • Certified Kubernetes Administrator (CKA).
  • Experience with GitHub Actions.
  • Experience with GitHub Copilot.
  • Knowledge of Terraform Cloud and Ansible Tower.
  • Strong written and oral communication skills; writing, publishing, and conference-level presentation skills are a plus.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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