Director - Data Architect
W Talent, New York, NY, United States
We’re partnering with a leading, large-scale financial services organization undergoing a major transformation across its Data & Analytics ecosystem.
This is a high-impact Director-level individual contributor role where you’ll sit at the heart of a newly consolidated enterprise data function, designing and shaping end-to-end data architecture across critical business domains.
You’ll play a key role in architecting and delivering scalable data platforms, data products, and analytics solutions - spanning everything from source systems through to business consumption (BI, applications, and operational systems).
This role combines hands-on architecture, strategic design, and cross-functional influence across business and technology teams.
Responsibilities
- Design end-to-end data architecture across data hubs, data products, and customer/CRM ecosystems
- Own and define data models across key business domains (OLTP & OLAP)
- Build and optimize scalable ETL/ELT pipelines (batch & real-time)
- Develop reusable data frameworks and architectural patterns for enterprise use
- Lead POCs and evaluation of new data, cloud, and platform technologies
- Ensure adherence to data governance, quality, security, and compliance standards
- Partner with stakeholders across business, data science, engineering, governance, and enterprise architecture
- Provide technical leadership across multiple concurrent data initiatives
Requirements
- Strong experience in Data Architecture across both traditional and modern platforms
- Deep expertise in data modeling (OLTP & OLAP) and enterprise data design
- Proven experience building data pipelines and large-scale data platforms
- Strong exposure to cloud ecosystems (Azure and/or AWS)
- Experience working with data warehouses, data lakes, and big data frameworks (Spark, Hadoop, etc.)
- Understanding of data governance, data quality, and enterprise data standards
- Experience with BI tools (Tableau, Power BI, etc.)
- Ability to operate as a senior individual contributor influencing at scale
Nice to Have
- Exposure to GenAI / AI-enabled data use cases
- Experience with streaming / real-time architectures
- Familiarity with Salesforce data ecosystems
- DevOps / CI-CD exposure within data environments
- Experience within financial services or insurance environments