Senior DevOps Engineer (Data Platforms)

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.

Responsibilities:

• Own 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 reliability
• Translate business and technical requirements into resilient, cost-effective platform solutions aligned with phData methodologies, architecture standards, and best practices
• Build, deploy, and maintain infrastructure-as-code configurations and CI/CD pipelines that support repeatable, governed platform delivery
• Monitor 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 patterns
• Ensure engagements are delivered on time, within scope, and with measurable business value for clients
• Collaborate with Solutions Architects, data engineering teams, analytics teams, and client stakeholders to deliver successful, well-integrated client engagements
• Provide technical leadership during troubleshooting sessions, infrastructure reviews, and platform deployments, particularly across cloud services on AWS and Azure
• Ensure high quality in deliverables through clear documentation, deployment guides, runbooks, and adherence to governance and change management processes
• Partner with practice and account leaders to improve operational maturity, standardize delivery patterns, and enhance client satisfaction across a large user base
• Contribute to internal initiatives such as building and enhancing IaC templates, automation scripts, CI/CD frameworks, and operational playbooks for Elastic Platform Operations
• Mentor peers by sharing best practices in cloud engineering, leading knowledge-sharing sessions, and helping up-skill team members on new tools and technologies
• Represent phData with professionalism in all interactions, communicating clearly with both technical and non-technical stakeholders
• Act as a trusted advisor to senior client stakeholders on cloud platform reliability, infrastructure strategy, and performance optimization
• Lead complex infrastructure and platform delivery efforts, coordinating across multiple teams and driving long-term improvements
• Mentor and coach junior engineers, fostering a culture of learning, feedback, and continuous improvement
• Help define and refine Elastic Operations standards, reusable IaC assets, and delivery frameworks for managed services

Requirements:

• 6+ years of hands-on experience in DevOps, cloud platform engineering, or infrastructure — ideally including client-facing or consulting delivery experience
• Strong 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 environments
• Solid experience designing and operating CI/CD pipelines and tooling (e.g., GitHub Actions, Bitbucket Pipelines, Azure DevOps) for platform and application deployments
• Proficiency in Python for scripting, automation, and operational tooling in cloud-native environments
• Working knowledge of SQL — ability to read, write, and debug queries to support platform troubleshooting and data flow validation
• Working knowledge of Unix/Linux environments and common system administration and scripting concepts
• Strong troubleshooting, performance tuning, and root-cause analysis skills across cloud infrastructure and platform services
• Active 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 output
• Ability to describe specific engineering tasks completed with AI assistance
• Experience delivering projects for external or internal clients in a professional services, consulting, or managed services environment
• Ability to break down complex, ambiguous platform challenges into structured, actionable steps and drive them through to completion
• Strong written and verbal communication skills in English, with the ability to clearly explain technical issues and solutions to non-technical stakeholders
• Demonstrated ability to work effectively with distributed and cross-functional teams across engineering, sales, and support
• Proven track record of taking full ownership, managing multiple concurrent priorities, and delivering high-quality work with minimal supervision
• Openness to learning new technology stacks — including data platform technologies — and helping up-skill other team members
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field — or equivalent practical experience
• Experience providing operational or engineering support for a cloud-native data warehouse such as Snowflake, Amazon Redshift, or Azure Synapse — including configuration, administration, or performance tuning
• Snowflake 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 Factory
• Experience monitoring and supporting ETL/ELT data pipelines and scheduled data jobs in a production environment
• Familiarity with workflow orchestration tools such as Apache Airflow or AWS Managed Airflow
• Experience with RDBMS platforms such as Oracle or Microsoft SQL Server in an operational or engineering context
• Experience with database deployment and schema migration frameworks such as Flyway or Liquibase
• Familiarity with ITIL processes and working in SLA-driven support environments
• Prior experience working in a managed services or Elastic Operations environment supporting multiple clients