---
title: 'Senior Data Engineer (Platform) at Globalli'
canonical: 'https://feeny.ai/job/senior-data-engineer-platform-globalli-mexico-canada-b9by7nh73b5v'
type: 'job'
last_seen: '2026-09-06'
---

# Senior Data Engineer (Platform) at Globalli

- **Company:** Globalli
- **Location:** Mexico Canada, Colombia
- **Work type:** remote
- **Posted:** 2026-06-30
- **Last confirmed live:** 2026-09-06
- **Apply:** https://job-boards.greenhouse.io/globalli/jobs/5177426007

## Job description

We are looking for a Senior Data Engineer to build and evolve the data platform powering our global workforce management ecosystem. You will design, implement, and maintain scalable data pipelines that consolidate data from multiple operational systems, transform it into trusted analytical datasets, and make it available for reporting, product analytics, and business intelligence.

You should be comfortable working with modern cloud-native data architectures on AWS, building reliable ETL/ELT pipelines, and designing data models optimized for analytical workloads. This role requires a strong engineering mindset, balancing performance, scalability, data quality, and operational excellence while collaborating closely with software engineers, product teams, analysts, and data scientists.

## What You Will Own

- Design, build, and maintain scalable batch and streaming data pipelines using AWS-native services and distributed processing frameworks
- Develop ETL/ELT workflows to ingest, consolidate, sanitize, enrich, and transform data from multiple internal and external systems
- Build and optimize AWS Data Lake solutions using Amazon S3, AWS Glue, Amazon Redshift, and Amazon Kinesis Firehose
- Design and implement distributed data processing jobs using Apache Spark, AWS Glue, Databricks, or equivalent technologies
- Develop orchestration workflows using Apache Airflow (MWAA), AWS Step Functions, or similar workflow orchestration platforms
- Design analytical data models including star schemas, snowflake schemas, dimensional models, and optimized reporting datasets
- Optimize Redshift performance through distribution strategies, sort keys, partitioning, workload tuning, and query optimization
- Build resilient pipelines supporting retries, idempotency, checkpointing, incremental processing, and partial failure recovery
- Implement automated data quality validation, schema evolution, lineage tracking, and governance controls
- Develop infrastructure and deployment automation using Infrastructure as Code and CI/CD pipelines
- Monitor, troubleshoot, and continuously improve the reliability, scalability, and performance of the data platform
- Collaborate with analysts, software engineers, data scientists, and product managers to translate business requirements into scalable data solutions
- Participate in architecture discussions and contribute technical documentation, standards, and best practices

## What We Are Looking For

- 5+ years of professional experience building production data pipelines and cloud-based data platforms
- Strong experience with AWS data services including Amazon Redshift, AWS Glue, Amazon S3, and Amazon Kinesis Firehose
- Strong Python programming skills for ETL development, automation, event processing, and scripting
- Advanced SQL expertise including query optimization, window functions, analytical queries, versioned migrations, rollback strategies, and warehouse tuning
- Experience designing scalable ETL/ELT pipelines for both batch and streaming workloads
- Experience with distributed compute and storage using Apache Spark, AWS Glue, Databricks, or similar distributed processing frameworks
- Strong understanding of data warehousing concepts including dimensional modeling, star schemas, snowflake schemas, partitioning strategies, and analytical data structures
- Experience designing end-to-end data architectures including ingestion, transformation, orchestration, and consumption layers
- Experience implementing workflow orchestration using Apache Airflow (MWAA), AWS Step Functions, or equivalent orchestration tools
- Understanding of data governance, metadata management, security best practices, IAM, encryption, and regulatory compliance considerations
- Experience with Git-based collaborative development workflows, CI/CD pipelines, Infrastructure as Code, deployment approvals, versioned migrations, and safe rollback strategies
- Experience monitoring and maintaining production data infrastructure, ensuring high availability, observability, data quality, and operational reliability
- Strong communication skills with the ability to explain technical concepts to business stakeholders and collaborate effectively across engineering, analytics, and product teams

## Nice to Have

- Experience with Apache Iceberg, Delta Lake, Apache Hudi, or modern open table formats
- Experience with dbt or SQL-based transformation frameworks
- Familiarity with Kafka, Amazon MSK, or other streaming platforms
- Experience with Lakehouse architectures and modern analytical data platforms
- Knowledge of Terraform or AWS CloudFormation
- Experience with containerized data workloads using Docker and ECS/EKS
- Experience implementing DataOps practices and automated testing for data pipelines
- Familiarity with BI platforms such as Tableau, Power BI, Looker, or QuickSight
- Experience implementing data catalogs, lineage, and governance solutions
- Exposure to machine learning feature pipelines or data science infrastructure

Tech Stack

Layer

Technology

Programming

Python, SQL, PySpark

Data Processing

Apache Spark, AWS Glue, Databricks

Data Storage

Amazon S3, Amazon Redshift, Parquet

Streaming

Amazon Kinesis Firehose, EventBridge

Orchestration

Apache Airflow (MWAA), AWS Step Functions

Data Modeling

Star Schema, Snowflake Schema, Dimensional Modeling

Infrastructure

AWS, IAM, CloudWatch

## IaC/CI

Git, GitHub Actions, Terraform, CloudFormation

Observability

CloudWatch, Datadog (or equivalent observability platforms)

Governance

Data Catalog, Metadata Management, Data Lineage

## About Globalli

## Core Business
- **Primary industry**: Global HR technology, payroll, and workforce management
- **Target customers**: B2B – multinational enterprises, companies expanding globally, and organizations needing Employer of Record (EOR) and contractor management solutions
- **Mission/purpose**: To simplify global expansion by offering a single, compliant platform that covers the entire employee lifecycle – from hiring and onboarding to paying and offboarding – while leveraging AI to automate compliance and cultural localization.

## Products & Services
- **Global Payroll**: Managed payroll services across 125+ countries, including salary disbursements and on-demand payments, all on a unified cloud-based infrastructure.
- **HRIS Platform**: Core HR information system covering employee database, scheduling, time & attendance, benefits, goals, performance management, and internal communications.
- **Employer of Record (EOR)**: Enables companies to hire employees in new markets without setting up their own legal entities.
- **Contractor Pay / Agent of Record**: Streamlines contractor onboarding, invoicing, and payments while reducing misclassification risks.
- **Company Formation**: Assists with setting up legal entities in new countries.
- **Entity Management & Corporate Compliance**: Unified view of all global entities, corporate secretarial support, accounting, tax, and compliance reporting.
- **Genius AI**: Built-in compliance and culture AI that tracks regulatory changes, localizes communications, and automates compliance tasks.
- **Employee App & Communities**: Mobile app with internal social networks, engagement surveys, recognition tools, and burnout detection.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metric (Funding)**: Total funding of **$15.5M** (Seed round, March 2025)
- **Notable Investors/Partners**: Investor names not publicly disclosed; the seed round included 2 investors. The company also acquired ConnectaVerse.
- **Growth Signals**:
  - Headcount grew **46.9% year-over-year** to 39 employees (as of mid-2025).
  - Operates in 18 countries with employees in Colombia, Spain, Canada, India, the UK, and more.
  - LinkedIn followers grew **64.6% year-over-year** (5,162 followers).
  - SOC2 Type2 & ISO 27001 certified, indicating strong security and compliance posture.

## Competitive Advantages
- **All-in-one platform**: Combines HRIS, payroll, EOR, contractor management, entity formation, and compliance into a single system – reducing the need for multiple vendors.
- **AI-powered compliance (Genius)**: Proactively tracks regulatory changes across 125+ countries and automates localization, reducing risk for global teams.
- **Scalability**: Supports companies from early global expansion through mature multinational operations, covering both pre-entity and post-entity stages.
- **Global reach with local expertise**: Hyper-localized dashboards, payroll rules, and compliance workflows for each country.

## Strategic Focus
- **Global expansion**: Continue adding country coverage and deepening localization capabilities.
- **Platform unification**: Further integrate HR, payroll, and compliance features to eliminate silos.
- **AI and automation**: Enhance Genius AI to reduce manual work and improve decision-making for people operations.
- **Customer acquisition**: Target mid-market and enterprise companies seeking to scale internationally without operational complexity.

## Why Work Here
- **Culture**: Described as “contagiously positive,” employee-centric, collaborative, and supportive. Values include agility, inclusion, and simplicity.
- **Work-life balance**: The company explicitly prioritizes work-life balance and a harmonious integration of work and personal life.
- **Growth opportunities**: Offers mentorship, training, and professional development; employees are encouraged to expand their skills and shape their career trajectories.
- **Remote/hybrid policy**: Not explicitly stated, but the global nature of the business (employees in 18 countries) suggests a remote-friendly or hybrid environment.
- **Perks & environment**: Dynamic, fast-paced environment with a focus on teamwork, innovation, and making an impact on global workforce management.

## Sources
1. [globalli.io](https://globalli.io)
2. [globalli.io/company/about-us](https://globalli.io/company/about-us)
3. [globalli.io/company/careers](https://globalli.io/company/careers)
4. [linkedin.com/company/thrivegloballi](https://www.linkedin.com/company/thrivegloballi)
5. [greenhouse.io](http://job-boards.greenhouse.io/globalli)

## Other roles at Globalli

- [Regional HR Service Delivery Manager (EMEA)](https://feeny.ai/job/regional-hr-service-delivery-manager-emea-globalli-united-kingdom-ireland-spain-rcz02szdswqa) — United Kingdom / Ireland / Spain / South Africa
- [Regional HR Service Delivery Manager (APAC)](https://feeny.ai/job/regional-hr-service-delivery-manager-apac-globalli-india-hxb4z3egcja7) — India
- [Regional HR Service Delivery Manager (LATAM)](https://feeny.ai/job/regional-hr-service-delivery-manager-latam-globalli-brazil-mexico-az9951yen2er) — Brazil Mexico, Colombia
- [AI Engineer](https://feeny.ai/job/ai-engineer-globalli-india-pakistan-ag17c4smc3zq) — India / Pakistan
- [Senior Test Automation Engineer](https://feeny.ai/job/senior-test-automation-engineer-globalli-india-pakistan-ekn8708dr4t6) — India / Pakistan
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