Senior Data Platform Engineer ID92207

AgileEngine; São Paulo; Ibrido; BRL 643.000 - 965.000; Tempo pieno

Vantaggi offerti da questo lavoro

Professional growth

Competitive USD-based pay

Exciting projects

Flextime

Descrizione del lavoro

AgileEngine is seeking a Senior Data Engineer to operate and enhance a Snowflake-based data platform in a regulated healthcare environment. You will own the data platform, manage ingestion via Fivetran/HVR, and implement robust data quality, observability, and incident response.

Strong SQL, Python, and dbt skills are essential, along with experience on Argo and Kubernetes. Join a fast-growing team with remote-friendly FlexTime options.

Competenze

• 5+ years of professional data engineering experience.
• Snowflake data platform design, performance, and troubleshooting.
• Advanced SQL and dbt for transformation and testing.
• Experience with Fivetran or HVR and ingestion pipelines.
• Experience with AWS data services (S3, ingestion patterns).
• Orchestrating workflows with Argo on Kubernetes.
• Python or equivalent for data engineering and automation.
• Strong data modeling, dependencies, schema evolution, backfills, data quality.
• Observability, logging, alerting, and incident management for data platforms.
• Root-cause analysis and preventive improvements.
• Ability to decide tradeoffs and guide platform improvements.
• Mentoring engineers and collaborating with Cloud/DevOps, Analytics, Security, Governance.
• Strong English communication and client interaction.
• Availability to work 9-6 PT and on-call rotation.

Mansioni

• Provide senior technical ownership for the Data Platform during LatAm coverage window and handle L2/L3 escalations.
• Operate and improve Snowflake production/non-production environments and manage config/size, monitoring, and lifecycle.
• Administer data access with least-privilege controls and audit-ready practices.
• Manage ingestion across Fivetran/HVR and custom pipelines, including onboarding and failure recovery.
• Design, build, and maintain pipelines and dbt models across RAW/ CURATED/ CONSUMPTION with testing and lineage.
• Support AWS S3 data-lake operations and downstream Snowflake workloads.
• Coordinate Argo Workflows and Kubernetes-hosted data workloads with Cloud/DevOps.
• Define and improve data quality and observability standards and checks.
• Lead major data incidents, perform root-cause analysis, and implement preventive actions.
• Support Tableau Cloud operations where needed and data connectivity issues.
• Identify and deliver standardization, automation, reliability, performance, and cost improvements.
• Execute incident/change/release processes with service-management workflows.
• Create runbooks and knowledge-transfer materials and mentor engineers.
• Participate in Data Platform on-call rotation.

Conoscenze

Data engineering

Snowflake

dbt

Fivetran/HVR

AWS data services

Argo Workflows

Python

Data modeling

Data quality

Observability

Incident management

Leadership / mentoring

English communication

On-call support

Strumenti

Kubernetes

Terraform

Descrizione del lavoro

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Engineer to operate and improve a Snowflake-based enterprise data platform in a regulated healthcare environment.

MUST HAVES

• 5+ years of professional experience in Data Engineering or Data Platform Engineering.
• Strong hands‑on experience operating and developing solutions on Snowflake, including data-layer design, warehouse performance, access patterns, and production troubleshooting.
• Advanced SQL skills and strong experience with dbt for transformation, testing, documentation, lineage, and controlled deployment.
• Experience operating managed ingestion tools such as Fivetran or HVR and supporting custom data‑ingestion pipelines.
• Hands‑on experience with AWS data services, particularly S3 and event-driven or file-based ingestion patterns.
• Experience orchestrating and troubleshooting data workloads with Argo Workflows on Kubernetes, or comparable workflow‑orchestration technologies.
• Proficiency in Python or a comparable language for data engineering, automation, and operational tooling.
• Strong understanding of data modeling, pipeline dependencies, schema evolution, backfills, data validation, and production data quality.
• Experience with observability, logging, alerting, and incident‑management practices for production data platforms.
• Demonstrated ability to lead complex incident resolution, perform root‑cause analysis, and convert findings into preventive improvements.
• Ability to make well‑reasoned technical decisions, identify tradeoffs, estimate work, and guide improvements across a complex platform.
• Experience mentoring engineers and collaborating effectively with Cloud / DevOps, Analytics, Security, Governance, and business stakeholders.
• Strong written and verbal English communication skills, with the ability to work directly with client stakeholders.
• Full availability to work from 9:00 AM to 6:00 PM Pacific Time and participate in an agreed on‑call rotation.

NICE TO HAVES

• Hands‑on experience with a data‑specific observability platform.
• Experience supporting Tableau Cloud administration, data‑source connectivity, extracts, scheduled refreshes, or production dashboard dependencies.
• Familiarity with Snowflake cost optimization, audit logging, tasks, stored procedures, and environment rationalization.
• Experience migrating legacy ingestion or orchestration patterns such as Boomi or AWS Data Pipeline to modern managed or Kubernetes‑based solutions.
• Experience with Terraform, CI/CD pipelines, and Infrastructure as Code practices supporting data platforms.
• Experience with service‑management and change‑control tools such as Freshservice and Jira.
• Familiarity with HIPAA, GDPR, FDA‑related controls, least‑privilege access, separation of duties, and audit‑ready operational practices.

WHAT YOU WILL DO

• Provide senior technical ownership for the Data Platform service tower during the LatAm coverage window, including day‑to‑day operations, complex troubleshooting, and L2/L3 escalation.
• Operate and improve Snowflake production and non‑production environments, including warehouse configuration and sizing, performance and consumption monitoring, object lifecycle, environment hygiene, and support for production changes.
• Administer data access within established controls, including users, roles, service accounts, secrets, and credential rotation, while maintaining least‑privilege and audit‑ready practices.
• Operate and improve data ingestion across Fivetran, HVR where applicable, and custom pipelines, including connector configuration, scheduling, source onboarding, schema‑change coordination, failure recovery, backfills, and dependency management.
• Design, build, and maintain reliable pipelines and dbt models across RAW, CURATED, and CONSUMPTION layers, with appropriate testing, documentation, lineage, version control, and CI/CD practices.
• Support AWS S3 data‑lake operations, including raw and landing‑zone workflows, lifecycle and retention controls, access patterns, logging, ingestion failures, and coordination with downstream Snowflake workloads.
• Support Argo Workflows and Kubernetes‑hosted data workloads in close coordination with the Cloud / DevOps team, including scheduling, troubleshooting, deployment, recovery, and capacity dependencies.
• Define and improve data quality and observability standards, including freshness, zero‑row, row‑count growth, null, duplicate, schema‑drift, and referential‑integrity checks.
• Expand end‑to‑end monitoring and lineage using tools such as SYNQ, dbt, Snowflake audit data, Splunk, and the agreed alerting stack, linking actionable alerts to evidence and runbooks.
• Lead or support major data incidents, root‑cause analysis, post‑incident reviews, and preventive actions across ingestion, orchestration, Snowflake, and downstream Tableau dependencies.
• Support Tableau Cloud operations where upstream data, connectivity, permissions, extracts, or refresh failures require Data Platform investigation.
• Identify and deliver standardization, automation, reliability, performance, and cost improvements, including migration of suitable legacy or custom extraction patterns toward agreed golden paths.
• Execute work through controlled incident, request, access, change, and release processes using established service‑management workflows.
• Create and maintain runbooks, operating procedures, architecture context, ownership information, recovery procedures, and knowledge‑transfer materials.
• Mentor Middle‑level engineers, review technical work, improve team practices, and ensure effective handoffs across the distributed service team.
• Participate in the Data Platform on‑call rotation for critical incidents outside staffed service hours.

PERKS AND BENEFITS

• Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: USD‑based pay with education, fitness, and team activity budgets.
• Exciting projects: Modern solutions with Fortune 500 and top product companies.
• Flextime: Flexible schedule with remote and office options.