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
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)
Bachelor's 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)
Work is for a US-based client
Strong English proficiency required
Schedule is US EST hours
Additional Information
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.
Betsol · Buenos Aires, Argentina