Senior Data Architect

About the Role: 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 :

Mandatory Skills: 

• 8 years in data architecture data engineering or enterprise data management. 
• Demonstrates strong and effective communication with clients and cross-functional stakeholders.  
• Strong hands-on experience with modern cloud data platforms (Snowflake)  
• Strong hands-on experience in AWS data engineering services (e.g. S3 Glue Redshift Lambda)  
• 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. 
• Proven experience owning or leading enterprise data architecture (not just pipeline development or BI) 
• Leadership skills in a cross-functional environment. 
• Experience supporting analytics AI/ML use cases and data warehousing at  
• scale. 
• Advanced proficiency in Python for data engineering and automation 
• Experience with data governance concepts (quality lineage metadata classification) 
• Bachelors degree in Cyber Security Computer Science or related field (or equivalent experience) 

Good to Have Skills:

• Experience with Data Vault 2.0 or other enterprise modeling approaches (Kimball Inmon 3NF etc.) 
• Experience with DBT or similar transformation tools (Coalesce Madillion Dataform or native SQL-based transformations) 
• Experience with Kafka or equivalent streaming platforms (Kinesis MSK Confluent etc.) 
• Experience building data applications or self-service tools (Streamlit or similar frameworks) 
• 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 :

No

Employment Type :

Full-time