Required Technical Skills:
Cloud & Data Platforms
• AWS
• Snowflake
• Data Lake Architecture
• Data Warehouse Architecture
• Cloud-Native Data Platforms
Architecture & Modeling
• Enterprise Data Architecture
• Data Modeling (Conceptual, Logical, Physical)
• Data Product Design
• Master Data Management (MDM)
• Customer 360 Architecture
• Real-Time Integration Patterns
Data Engineering Ecosystem
• dbt
• AWS Glue
• Fivetran
• Python
• SQL
Roles & Responsibilities:
We are seeking an experienced Data Architect to lead enterprise data modernization initiatives, define target-state architecture, and establish scalable data platforms supporting analytics, AI, governance, and business intelligence. The ideal candidate will possess deep expertise in AWS, Snowflake, Data Warehousing, Data Products, Data Governance, and Enterprise Data Architecture.
This role will partner with business stakeholders, data engineers, solution architects, and leadership teams to drive enterprise-wide data strategy and implementation.
Key Responsibilities:
• Define and maintain enterprise data architecture standards and principles.
• Develop current-state, transitional, and target-state data architecture roadmaps.
• Establish strategies for data modernization, cloud adoption, and platform consolidation.
• Drive enterprise data product adoption and reusable data asset frameworks.
Architecture & Design
• Design scalable cloud-native data platform architectures.
• Define data ingestion, transformation, storage, and consumption patterns.
• Architect data lakes, data warehouses, and data marts.
• Establish reference architectures for analytics, AI, and operational reporting.
Data Governance & Quality
• Define enterprise data governance standards and best practices.
• Lead metadata, lineage, and data catalog initiatives.
• Establish data quality frameworks and governance controls.
• Ensure compliance with security, privacy, and regulatory requirements.
Stakeholder Engagement
• Work directly with business leaders to understa nd strategic data needs.
• Translate business requirements into scalable data architecture solutions.
• Provide architecture guidance to engineering and delivery teams.
• Lead architecture reviews and technology evaluations.
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