Enterprise Data Architect
San Francisco, California, United States of America
Contract
1 day ago
Key skills
PythonSQLAIMLETLELTData EngineeringAnalyticsBISnowflakeDatabricksAzureMentoring
About this role
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
Strong expertise in Azure data services (ADF, ADLS Gen2, Databricks, Synapse)
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