Data Architect
The Data Architect designs the structural blueprint for enterprise data: defining how information flows from operational systems through analytical tiers to end consumers. They establish standards for data modeling, platform selection, security, and governance across the company.
The Data Architect designs the structural blueprint for enterprise data: defining how information flows from operational systems through analytical tiers to end consumers. They establish standards for data modeling, platform selection, security, and governance across the company.
The position requires deep familiarity with modern architectural patterns: distributed lakehouses (Databricks, Apache Iceberg), cloud warehouses (BigQuery, Snowflake), and data contracts. An effective architect explains technical trade-offs clearly to both engineering leads and executive boards.
Methodologies & technical foundations (% penetration)
Infrastructure & tooling demanded in job specs (% penetration)
Seniority Level Breakdown
Corporate hierarchy distribution
Top Hiring Enterprises
Leading corporations posting this role
- Databricks34 positions
- Anthropic27 positions
- OpenAI21 positions
- Teledyne Technologies4 positions
- Stripe4 positions
- Nvidia4 positions
S&P 500 Sector Distribution
Industry sectors generating the highest hiring demand
- Information Technology22.1%
- Financials19.5%
- Health Care16.9%
- Industrials14.3%
- Consumer Staples9.1%
Live Enterprise Job Postings
Sample of active postings directly from corporate ATS boards
Lead Architect - Data Network
Data Architect
Director, Data Architecture
Senior Data Architect
Principal Solution Architect - Reporting & Analytics
Software/Solutions Architect – AI & Software Architecture, Visa Consulting and Analytics (VCA) — Tech Practice
Data Architect (US Citizenship Required)
Lead Data Architect
Recommended Skill Tracks & Certifications
Curated programs on Coursera, DataCamp and cloud providers aligned with these role requirements
Google Cloud Professional Data Engineer Specialization
Official curriculum by Google Cloud covering large-scale data processing with BigQuery, streaming pipelines with Dataflow, and modern lakehouse architecture.
Data Engineer with Python Career Track
Interactive, browser-based coding track covering robust data pipelines, PostgreSQL, unit testing, software design patterns for data, and PySpark fundamentals.
Generative AI with Large Language Models
Created by Andrew Ng and AWS: practical engineering foundations of transformer architectures, pre-training, instruction fine-tuning, and alignment evaluation in production.
Databricks Certified Data Engineer Professional
Validates mastery of streaming, batch ETL, Unity Catalog governance, and production Lakehouse architectures with Delta Lake and Spark.