Design and implement the enterprise data architecture.
Lead the development of scalable, secure, and integrated data platforms to support analytics, compliance, and business operations.
Define and implement the company’s data architecture, models, and pipelines.
Design integrations between internal platforms and third-party systems (Salesforce, CX platforms, etc.).
Establish standards for data quality, metadata, lineage, and classification.
Partner with engineering, security, and compliance teams to align on privacy, retention, and access control policies.
Lead the selection and implementation of data platforms.
Drive adoption of data best practices across teams and support data governance efforts.
Maintain data platforms and architecture performance.
Improve data models to support business growth and analytics.

Bachelor’s degree in Cyber Security, Computer Science or related field (or equivalent experience)
8+ years in data architecture, data engineering, or enterprise data management.
Strong hands-on experience with Snowflake, DBT, Data Vault 2.0, Streamlit / Python
Strong hands-on experience with AWS data engineering and Kafka
Familiarity with privacy and compliance frameworks such as SOC 2, HIPAA, GDPR, PCI DSS.
Strong understanding of data modeling (OLTP/OLAP), APIs, and system integration.
Leadership skills in a cross-functional environment.
Experience supporting analytics, AI/ML use cases, and data warehousing at scale.

Senior Data Architect, English Required

Key skills