Data Platform Architect (Remote)

Velozient; Teletrabalho; BRL 520.000 - 677.000; Tempo integral

Resumo da oferta

A growing software development company is seeking a remote Data Platform Architect to design and build robust, scalable data architectures. With over 8 years of experience needed, the role focuses on integrating and optimizing data solutions for multi-tenant systems. Responsibilities include architecting data platforms, ensuring compliance through data governance, and collaborating with teams to foster best practices. Ideal candidates should have deep AWS expertise and strong communication skills. Competitive benefits include 15 days PTO and more.

Serviços

15 days Paid Time Off (PTO)

Flexible work hours

Dynamic team environment

Qualificações

• 8+ years in data engineering or architecture.
• Proven success in building large-scale data pipelines.
• Expertise in MPP databases like Redshift or Snowflake.
• Strong experience in data modeling and multi-tenant systems.

Responsabilidades

• Architect a multi-tenant data platform for 500+ tenants.
• Design end-to-end architecture with data lakes and warehouses.
• Implement data governance frameworks for compliance.
• Optimize performance and cost management in Redshift.

Conhecimentos

Data engineering

Cloud-native platforms

SQL

Python

Data governance

Infrastructure as Code

Communication in English

Formação académica

Bachelor's or Master's degree in Computer Science, Data Engineering, or related field

Ferramentas

AWS Glue

Redshift

Airflow

S3

Terraform

QuickSight

Descrição da oferta de emprego

Data Platform Architect (Remote)

Location: Vitória, Espírito Santo, Brazil

We are looking for a full-time, remote Data Platform Architect with 8+ years of experience to join our U.S. client. The role focuses on designing and building secure, scalable API and service integrations that connect SaaS products, data warehouses, and embedded analytics ecosystems. The Data Platform Architect is responsible for defining, implementing, and evolving the end-to-end data architecture that powers our platform analytics, reporting, and data automation ecosystem. This role will design a scalable, automated multi-tenant data warehouse and pipeline architecture that integrates hundreds of tenant schemas from our SaaS platform into a centralized, governed, and cost‑optimized analytics environment (AWS-based: Redshift, S3, Glue, Lake Formation, QuickSight). The ideal candidate combines deep data engineering expertise with systems‑level architecture—balancing automation, performance, and cost while ensuring accuracy, compliance, and scalability for every customer. Our client provides integrated software and marketing solutions for the hospitality industry, specializing in short‑term rental management. Their platform provides vacation rental companies with an enterprise‑class Property Management System that integrates booking, guest communications, and financial reporting, all built with partner organization integrations in mind.

Responsibilities

• Architecture & Design
  • Architect a multi‑tenant data platform capable of ingesting 500+ tenant schemas with automated onboarding/offboarding workflows
  • Design an end‑to‑end architecture that includes data lakes, warehouses, transformation pipelines, and semantic layers
  • Define data zone strategy (Raw, Staging, Serving), partitioning, and schema evolution patterns
  • Establish standards for data contracts, metadata cataloging, and lineage tracking across all tenants
  • Drive selection and configuration of core technologies (e.g., Redshift, Glue, S3, Lake Formation, dbt, Lambda, Airflow)
  • Collaborate with engineering and DevOps to ensure infrastructure as code (IaC) is applied to all data assets
• Pipeline & Automation
  • Design metadata‑driven ingestion and transformation pipelines supporting incremental updates, schema drift, and tenant isolation
  • Ensure pipelines are idempotent, self‑healing, and fully integrated into CI/CD processes
  • Partner with the Data Pipeline Engineers to deliver automated data onboarding, testing, and quality validation
• Performance & Cost Optimization
  • Define workload management, clustering, and distribution strategies in Redshift or equivalent MPP systems
  • Implement data lifecycle management policies to optimize storage and compute costs
  • Continuously evaluate query performance, caching, and concurrency scaling options
• Governance & Security
  • Implement data governance frameworks to ensure privacy, PII compliance, and secure tenant isolation
  • Partner with InfoSec to align encryption (KMS multi‑region keys), object lock, and access control policies with SOC / PCI / GDPR standards
  • Establish monitoring, alerting, and anomaly detection systems for data quality and operational stability
• Collaboration & Leadership
  • Partner closely with Product, Engineering, and Analytics teams to ensure architecture aligns with business and product goals
  • Mentor engineers on modern data platform practices (dbt, ELT, IaC, observability)
  • Act as a technical authority and evangelist for data platform best practices within the organization

Required Experience

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field; or equivalent professional experience
• Excellent English communication skills
• 8+ years in data engineering or data architecture, including at least 3 years architecting cloud‑native data platforms
• Proven success in building and maintaining large‑scale data pipelines using AWS Glue, Lambda, Step Functions, or Airflow
• Expertise in Redshift, Snowflake, or equivalent MPP databases, including workload management and query optimization
• Proficiency with S3‑based data lakes, Glue Data Catalog, and Lake Formation
• Deep understanding of data modeling (Kimball / ELT) and multi‑tenant system design
• Experience defining and enforcing data governance frameworks (PII, access control, lineage)
• Proficiency with infrastructure‑as‑code (Terraform / CloudFormation) and CI/CD for data assets
• Strong SQL and Python skills; dbt experience preferred
• Familiarity with embedded BI / analytics tools (QuickSight, GoodData) and semantic layer concepts

Desired Experience

• Experience with schema‑per‑tenant architectures and automated tenant provisioning
• Familiarity with Auth0 / SSO integration for analytics tools (e.g., QuickSight embedding)
• Experience implementing observability platforms (e.g., Datadog, CloudWatch, Monte Carlo, Soda Core)
• Exposure to data mesh or domain‑oriented design principles
• Prior experience in hospitality / property‑management SaaS product ecosystems

Additional Information

When you know your ideas are heard and matter, think big! You get to own your job and be recognized for your contributions. Work with innovative and creative people. Making mistakes is human. Let's learn from them. Be transparent! We recognize you as an individual, with no presumptions or judgment. Be the extraordinary you! 15 days Paid Time Off (PTO), 1 floating day, 3 sick days, and designated national holidays. Start: ASAP

About Velozient

We are a privately held, nearshore software development company providing outsourced development resources to North American companies. Our mission is to offer development talent who enjoy taking on challenging work, want to grow their skills and experiences building software, and excel in a fast‑paced, dynamic team environment. We focus on providing world‑class remote resources who work as valued members of client teams. If this type of opportunity excites you, then consider joining our team!