Senior Data Architect (English required)

The Senior Data Architect is responsible for designing and implementing the enterprise data architecture. This role will lead the development of scalable secure and integrated data platforms to support analytics compliance and business operations.

Responsibilities:

• Define and implement the companys 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.
• Support data risk reviews vendor onboarding and audit readiness from a technical standpoint.
• Maintain data platforms and architecture performance
• Support existing data workflows and integrations
• Respond to data-related incidents and ensure data reliability
• Improve data models to support business growth and analytics
• Optimize data pipelines quality and availability
• Expand self-service data capabilities for stakeholders
• Define future-state architecture to enable digital transformation
• Lead data strategy to support AI/ML automation and advanced analytics
• Integrate data across new platforms partners or business models

Qualifications :

Required

• Bachelors 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.

 Preferred

• Strong experience with BI tools; Tableau Looker Power BI
• AWS Certified Data Analytics Specialty
• TOGAF (for architecture frameworks)
• CDMP (Certified Data Management Professional)

Additional Information :

• Work is for a US-based client
• Strong English proficiency required
• Schedule is US EST hours

Remote Work :

Yes

Employment Type :

Full-time