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Data Architect Onsite JD-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