Senior Data Architect
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 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.
- 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
- 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.
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
Must work Eastern time zone hours