Senior DevOps Engineer (Data Platforms) - LATAM Based

JoinphData, 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, 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 OverviewWe 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 ResponsibilitiesClient 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...