Data Architect -Technical & Architectural Expertise
Deep experience designing and implementing scalable, secure, cloud-native data architectures.
Strong understanding of modern data warehousing (e.g., Snowflake, Redshift), Lakehouse architectures, and ELT/ETL paradigms.
Proficiency with data modeling (conceptual, logical, physical) across operational and analytical use cases.
Expertise in data integration technologies and orchestration frameworks (e.g., SnapLogic, dbt, Airflow, or similar).
Comfortable designing architecture patterns for real-time, batch, and streaming data use cases.
Governance, Security & Quality
Skilled in designing for data lineage, cataloging, access control, and compliance (e.g., GDPR).
Experience setting up data governance frameworks and embedding quality controls into pipelines.
Familiar with data mesh principles and federated data ownership models.
Strategic Thinking & Enterprise Design
Ability to translate business strategy into data architecture blueprints and roadmaps.
Strong systems thinker, can architect for reusability, scalability, and alignment with enterprise goals.
Able to design modular, service-oriented data products that support multiple business domains.
Collaboration & Leadership
Effective at working with product managers, engineers, analysts, and executives to define data needs.
Can provide technical leadership across squads, mentoring engineers and influencing standards.
Experience contributing to or leading architecture review boards or governance forums.
Additional Desirables
Previous experience building or evolving a modern data platform (preferably within a federated or multi-domain
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DBA / Data warehousingRole: Database Architect / DesignerEmployement Type: Full time