Data Platform Architect

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