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Senior Data Architect

CloudAI TechnologiesWashington, DC🇺🇸United StatesPosted 24 Jul 2026

Why This Role Stands Out

Shape the future of data at a leading technology company by defining and evolving their enterprise data platform, offering significant opportunities for technical leadership and impact. You will thrive in this hybrid role if you possess deep expertise in cloud data technologies and a passion for designing scalable, secure, and cost-efficient data solutions. Apply now to lead architectural strategy and mentor a talented team.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Lead the design and evolution of our enterprise data platform — defining how data is ingested, stored, governed, and consumed to power analytics, ML, and AI-driven products.

RESPONSIBILITIES

  • Own the end-to-end data architecture strategy across cloud platforms, lakes, warehouses, and streaming.
  • Design scalable, secure, cost-efficient data models and pipelines for analytics and ML/AI.
  • Establish data governance, quality, lineage, and metadata standards.
  • Lead architecture reviews; mentor architects and engineers.

Partner with data science, product, and engineering leadership.

  • 8+ years in data engineering/architecture, 3+ as an architect.
  • Deep expertise in AWS, Azure, or Google Cloud Platform and modern stacks (Snowflake, Databricks, BigQuery).
  • Strong SQL, data modeling, and ETL/ELT design.
  • Experience with streaming (Kafka, Kinesis, Spark).
  • Solid grounding in data governance, security, and compliance.

Skills

SQL
AWS
ETL
Snowflake
Azure
BigQuery
Databricks
Google Cloud
Kafka

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