Data Enterprise Architect - Direct Client - San Francisco, CA

Redefined Corp; San Francisco (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

A leading tech company is seeking an experienced Enterprise Data Architect to design and modernize enterprise data platforms supporting analytics and reporting. This role involves defining data architecture standards, leading initiatives using Azure and Snowflake, and ensuring high data quality in a regulated environment. The ideal candidate has extensive experience in cloud data architecture and governance while collaborating with teams to deliver effective data solutions.

Qualifications

• 10+ years of experience in data architecture or enterprise data platforms.
• Hands-on experience with Snowflake or modern cloud data warehouse platforms.
• Strong SQL and Python for data engineering and automation.

Responsibilities

• Define enterprise data architecture, standards, and long-term roadmaps.
• Design and implement modern data platforms, including data lakes and data warehouse solutions.
• Lead cloud data architecture initiatives using Azure services and Snowflake.

Skills

Data architecture

Cloud platforms (Azure, Snowflake)

SQL

Python

Data governance

Data privacy and compliance

Tools

Azure Data Factory (ADF)

Azure Data Lake Storage (ADLS)

Databricks

Azure Synapse

Snowflake

Job description

Job Summary

We are seeking an experienced Enterprise Data Architect to design and modernize enterprise data platforms supporting analytics, reporting, and advanced data insights. The ideal candidate will lead architecture initiatives for cloud-based data ecosystems using Azure and Snowflake while ensuring scalability, governance, security, and high data quality in a regulated enterprise environment.

Key Responsibilities

• Define enterprise data architecture, standards, and long-term roadmaps
• Design and implement modern data platforms, including data lakes, lakehouse, and data warehouse solutions
• Lead cloud data architecture initiatives using Azure services (ADF, ADLS, Databricks, Synapse) and Snowflake
• Establish enterprise data governance, data quality, metadata, and lineage frameworks
• Design scalable ETL/ELT pipelines to support analytics, BI, and AI/ML workloads
• Collaborate with business and engineering teams to deliver enterprise data solutions

Required Skills

• 10+ years of experience in data architecture or enterprise data platforms
• Hands-on experience with Snowflake or modern cloud data warehouse platforms
• Strong SQL and Python for data engineering and automation
• Experience designing enterprise data models and governance frameworks
• Knowledge of data privacy, security, and regulatory compliance practices

Preferred

• Experience in regulated industries or large enterprise environments
• Exposure to AI/ML analytics platforms and real-time data processing
• Experience leading architecture strategy and mentoring engineering teams