Senior DevOps Engineer (Data Platforms) - LATAM Based

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises. We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results. Why phData? Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network 2025 Fivetran Partner of the Year (4th consecutive year) 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status 2026 KNIME Customer Excellence Partner of the Year Preferred Partner in the Anthropic Claude Partner Network #1 Partner in Snowflake Advanced Certifications 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more) Recognized as an award-winning workplace in the US, India and LATAM Role Overview We are looking for a Senior DevOps Engineer to join our Elastic Platform Operations (EPO) team. In this role, you will own the technical delivery and platform reliability of cloud-native data environments on AWS and Azure for our managed services clients. You bring deep DevOps expertise — infrastructure-as-code, CI/CD, cloud platform engineering, automation, and client-facing delivery — and you will apply it in data platform contexts, developing data warehouse and pipeline depth as you go. You will work closely with Solutions Architects, engineering teams, and client stakeholders to implement scalable, well-governed solutions that drive measurable business value. Familiarity with data platforms like Snowflake or Redshift is a plus, but it is not a prerequisite — what matters most is your cloud engineering foundation and your ability to deliver in a consulting environment. Key Responsibilities Client Delivery 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. Collaboration & Leadership 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. Practice & Firm Contribution 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. Additional Responsibilities (Senior Level) 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. About You You are a senior cloud/DevOps engineer who thrives in a structured, client-facing environment and takes pride in building reliable, automated, and well-governed platform infrastructure. You are comfortable operating across AWS and Azure, writing infrastructure-as-code, and driving CI/CD-enabled delivery at scale. You may not have deep data warehouse or Snowflake experience today — that is expected, and we will invest in building it — but you bring the platform engineering fundamentals that underpin everything we do for our clients. You are comfortable in distributed, global teams and take full ownership of your engagements. Required Qualifications Experience 6+ years of hands-on experience in DevOps, cloud platform engineering, or infrastructure — ideally including client-facing or consulting delivery experience. Technical / Functional Skills 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. Consulting / Delivery Skills 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. Collaboration & Ownership 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. Education Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field — or equivalent practical experience. Preferred Qualifications Preferred qualifications help candidates stand out but are not required for success in this role. 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. Location & Time Zone Expectations This role is based in LATAM and operates primarily supports clients in Eastern and Central time zones in the US. We are a remote-first company, and you should be comfortable working with a distributed global team. Some flexibility may be required to collaborate across time zones with colleagues and clients. Client needs may occasionally require flexibility in working hours to support key milestones or workshops. Why phData? Impactful Work: Partner with leading organizations on meaningful data & AI initiatives. Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement. Growth Opportunities: Access to challenging projects, mentorship, and a clear pathway toward Solutions Architect and senior platform roles. Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community. Benefits at phData LATAM: Remote-First Work Environment Casual, award-winning small-business work environment Collaborative cultu