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 are related field (or equivalent experience)
- 8 years in data architecture data engineering or enterprise data management.
- Strong experience with cloud platforms and modern data stacks (ELT tools DBT Kafka etc.)
- Familiarity with privacy and compliance frameworks (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 or data warehousing at scale.
Preferred
- AWS Certified Data Analytics Specialty
- TOGAF (for architecture frameworks)
- CDMP (Certified Data Management Professional)
Additional Information :
Remote Work :
Yes
Employment Type :
Full-time
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 da...
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 are related field (or equivalent experience)
- 8 years in data architecture data engineering or enterprise data management.
- Strong experience with cloud platforms and modern data stacks (ELT tools DBT Kafka etc.)
- Familiarity with privacy and compliance frameworks (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 or data warehousing at scale.
Preferred
- AWS Certified Data Analytics Specialty
- TOGAF (for architecture frameworks)
- CDMP (Certified Data Management Professional)
Additional Information :
Remote Work :
Yes
Employment Type :
Full-time
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