What are the responsibilities and job description for the Data Enterprise Architect - Direct Client - San Francisco, CA position at Redefined Corp?
- Job Title: Enterprise Data Architect
- Position Type: Long-Term Contractual
- Location: San Francisco, CA
Please check the job description below for your reference:
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