We are seeking a strong Enterprise Data Architect to lead the architecture strategy for a large-scale Data Modernization program in the Financial Services industry. This is a hands-on, onsite role based in Dallas, TX .
Key Responsibilities:
· Lead current-state assessment , discovery, and gap analysis of legacy data environments
· Define target-state architecture and craft a clear migration roadmap aligned to business priorities
· Guide and support engineering teams through execution across data ingestion, modeling, transformation, and provisioning
· Architect modern cloud-native data platforms leveraging tools like Snowflake, DBT, Fivetran, GCP
· Provide thought leadership in data modeling, BI architecture , and data engineering practices
· Ensure smooth modernization from legacy stacks (SQL Server, Talend, Datastage) to modern platforms
Required Qualifications:
· 10+ years in data architecture with strong hands-on experience in data engineering and modeling
· Proven track record in legacy-to-cloud data modernization programs
· Expertise in modern data stacks (Snowflake, DBT, Fivetran, GCP) and familiarity with legacy tools (SQL Server, Talend, Datastage)
· Experience creating enterprise data architecture , migration strategies, and reference models
· Strong collaboration and leadership skills; able to partner effectively with both technical teams and business stakeholders
Location: Must be available to work onsite in Dallas, TX
#J-18808-Ljbffr