[Remote] Senior DevOps Engineer (Data Platforms)

Note: The job is a remote job and is open to candidates in USA. phData is a remote-first data and AI consultancy company that partners with industry leaders to solve complex challenges. They are seeking a Senior DevOps Engineer to lead the technical delivery and platform reliability of cloud-native data environments on AWS and Azure, focusing on infrastructure automation and client-facing delivery.ResponsibilitiesOwn and drive end-to-end operational delivery for cloud-native data platform environments (AWS, Azure) across multiple managed services clients — including environment configuration, infrastructure automation, and platform reliabilityTranslate business and technical requirements into resilient, cost-effective platform solutions aligned with phData methodologies, architecture standards, and best practicesBuild, deploy, and maintain infrastructure-as-code configurations and CI/CD pipelines that support repeatable, governed platform deliveryMonitor and support production data jobs and pipelines (ETL/ELT), ensuring timely resolution of failures and minimizing business impact as you develop depth in data platform patternsEnsure engagements are delivered on time, within scope, and with measurable business value for clientsCollaborate with Solutions Architects, data engineering teams, analytics teams, and client stakeholders to deliver successful, well-integrated client engagementsProvide technical leadership during troubleshooting sessions, infrastructure reviews, and platform deployments, particularly across cloud services on AWS and AzureEnsure high quality in deliverables through clear documentation, deployment guides, runbooks, and adherence to governance and change management processesPartner with practice and account leaders to improve operational maturity, standardize delivery patterns, and enhance client satisfaction across a large user baseContribute to internal initiatives such as building and enhancing IaC templates, automation scripts, CI/CD frameworks, and operational playbooks for Elastic Platform OperationsMentor peers by sharing best practices in cloud engineering, leading knowledge-sharing sessions, and helping up-skill team members on new tools and technologiesRepresent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholdersAct as a trusted advisor to senior client stakeholders on cloud platform reliability, infrastructure strategy, and performance optimizationLead complex infrastructure and platform delivery efforts, coordinating across multiple teams and driving long-term improvementsMentor and coach junior engineers, fostering a culture of learning, feedback, and continuous improvementHelp define and refine Elastic Operations standards, reusable IaC assets, and delivery frameworks for managed servicesSkills6+ years of hands-on experience in DevOps, cloud platform engineering, or infrastructure — ideally including client-facing or consulting delivery experienceStrong cloud platform experience across AWS and/or Azure, including core infrastructure services (e.g., S3, ADLS, IAM, networking, compute, secrets management)Proven hands-on experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation) — including authoring, extending, and maintaining IaC in team environmentsSolid experience designing and operating CI/CD pipelines and tooling (e.g., GitHub Actions, Bitbucket Pipelines, Azure DevOps) for platform and application deploymentsProficiency in Python for scripting, automation, and operational tooling in cloud-native environmentsWorking knowledge of SQL — ability to read, write, and debug queries to support platform troubleshooting and data flow validationWorking knowledge of Unix/Linux environments and common system administration and scripting conceptsStrong troubleshooting, performance tuning, and root-cause analysis skills across cloud infrastructure and platform servicesActive daily use of AI coding tools (Cursor, GitHub Copilot, Claude, ChatGPT, or equivalent) with demonstrated judgment about when to trust, verify, and correct AI-generated outputAbility to describe specific engineering tasks completed with AI assistanceExperience delivering projects for external or internal clients in a professional services, consulting, or managed services environmentAbility to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completionStrong written and verbal communication skills in English, with the ability to clearly explain technical issues and solutions to non-technical stakeholdersDemonstrated ability to work effectively with distributed and cross-functional teams across engineering, sales, and supportProven track record of taking full ownership, managing multiple concurrent priorities, and delivering high-quality work with minimal supervisionOpenness to learning new technology stacks — including data platform technologies — and helping up-skill other team membersBachelor's degree in Computer Science, Information Technology, Engineering, or a related field — or equivalent practical experienceExperience providing operational or engineering support for a cloud-native data warehouse such as Snowflake, Amazon Redshift, or Azure Synapse — including configuration, administration, or performance tuningSnowflake SnowPro Core certification or equivalent cloud/data platform certifications (AWS Solutions Architect, Azure Administrator, etc.)Experience with data integration and streaming technologies such as Spark, Kafka, Fivetran, Matillion, HVR, NiFi, AWS Database Migration Service, or Azure Data FactoryExperience monitoring and supporting ETL/ELT data pipelines and scheduled data jobs in a production environmentFamiliarity with workflow orchestration tools such as Apache Airflow or AWS Managed AirflowExperience with RDBMS platforms such as Oracle or Microsoft SQL Server in an operational or engineering contextExperience with database deployment and schema migration frameworks such as Flyway or LiquibaseFamiliarity with ITIL processes and working in SLA-driven support environmentsPrior experience working in a managed services or Elastic Operations environment supporting multiple clientsBenefitsRemote-First Work EnvironmentCasual, award-winning small-business work environmentCollaborative culture that prizes autonomy, creativity, and transparencyCompetitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)Accelerated learning and professional development through advanced training and certificationsCompany OverviewphData Premier provider of Big Data managed services and architecture, engineering, and data science consulting. It was founded in 2014, and is headquartered in Minneapolis, Minnesota, USA, with a workforce of 501-1000 employees. Its website is https://www.phdata.io/.Company H1B SponsorshipphData has a track record of offering H1B sponsorships, with 2 in 2026, 10 in 2025, 13 in 2024, 4 in 2023, 16 in 2022, 15 in 2021, 9 in 2020. Please note that this does not guarantee sponsorship for this specific role.