Data Architect (Principal Engineer / Architect) (Fulltime Role)

Company: CloudIngest

Location: Seattle, WA

Type: Full-time

Posted: 2026-05-11

About this role

NOTE: Its a Full Time role, So need only GC & USC please.

Data Architect (Principal Engineer / Architect)

Salary: Fulltime Salary DOE

Department: Data Centre of Excellence (Data COE)

Location: Seattle, Washington

Experience: 12–18 Years (Principal IC)

Role Overview

We are looking for a Principal Data Architect to define and own the architectural direction of our enterprise data platform. Operating at the intersection of data engineering, AI/ML infrastructure, and cloud platform strategy, you will set the technical vision that underpins how data is ingested, stored, served, and consumed across a federated multi-cloud environment. This is an individual contributor role at the principal level — you are expected to shape the architecture, influence engineering decisions across domains, and drive the platform from its current state toward a modern, governed, AI-ready data estate.

Key Responsibilities

Platform Architecture

  • Define the enterprise data platform reference architecture spanning Azure, AWS, and GCP — covering ingestion, storage, transformation, serving, and real-time streaming layers
  • Own architectural decisions for Databricks / Delta Lake as the core lakehouse platform; define Delta sharing, Unity Catalog governance, and multi-cluster design patterns
  • Design and govern cloud infrastructure patterns using Terraform; establish IaC standards for all platform assets across cloud providers
  • Lead Kubernetes (K8s) architecture for containerised data platform services — including operator patterns, resource management, and workload isolation for data and ML workloads
  • Architect Snowflake environments across multi-cloud deployments — data modelling, performance tuning, role-based access, dynamic data masking, zero-copy cloning, and cross-cloud data sharing via Snowflake Data Clean Rooms and Marketplace
  • Define API gateway strategy for data product serving — access control, rate limiting, versioning, and consumer onboardi...

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