Hi Every one,
I hope doing well!
Title: Data Architect
Location: Fully Remote
Required
Seniority & Experience: 8+ years of progressive experience in data architecture, data engineering, and enterprise database design.
Core Cloud Platform: Deep expertise in Snowflake architecture, multi-cluster management, performance optimization, and data sharing within complex enterprise environments.
Cloud Infrastructure: Strong hands-on experience with AWS native data services (e.g., S3, Glue, Redshift, Athena, IAM, EKS/ECS).
Pipeline Frameworks: Demonstrated experience with enterprise orchestration tools, specifically Astronomer / Apache Airflow.
Advanced SQL: Exceptional, advanced SQL skills for complex analytics, data transformation, optimization, and query tuning.
Domain Expertise: Strong preferences for Retail industry background specifically with store-side operations, point-of-sale (POS), supply chain, or e-commerce workflows. (Candidates with heavy Finance or Healthcare enterprise experience will also be strongly considered).
Modern Data Concepts: Proven understanding of semantic layer design (e.g., dbt, Cube, AtScale), data cataloging, and metadata management.
We are seeking a seasoned Data Architect to own and evolve our enterprise data ecosystem. In this high-impact role, you will lead the architecture of our cloud-native data platform, centered around Snowflake and AWS. You will be responsible for designing scalable, high-performance data models, building unified semantic layers, and establishing modern governance frameworks across a complex enterprise landscape.
The ideal candidate is a strategic technical leader with deep experience in retail environments bridging store operations and e-commerce who can translate business needs into robust, future-ready data foundation. You will also lay the groundwork for AI/ML capabilities, data catalogs, and graph-based metadata systems while communicating effectively with both executive leadership and hands-on engineering teams.
Key Responsibilities
<>Enterprise Architecture & Snowflake Management
Lead the architectural design and optimization of our enterprise data platform built on Snowflake and AWS.
Model complex data flows across a large, distributed organization, ensuring high availability, performance tuning, cost control, and security.
Define and implement data modeling standards (3NF, Dimensional/Kimball, Data Vault) optimized for large-scale analytical and operational workloads.
<>Pipeline & Data Flow Design
Architect reliable, enterprise-grade data pipelines using frameworks such as Astronomer (Apache Airflow) to orchestrate complex ETL/ELT processes.
Partner with engineering teams to ensure low-latency data integration from diverse source systems, including POS, ERP, CRM, and digital platforms.
<>Semantic Layers, Cataloging & AI Readiness
Design and deploy enterprise semantic layers to standardize business metrics and provide a single source of truth across BI and AI applications.
Implement data cataloging and metadata management solutions to ensure data discoverability, lineage tracking, and governance.
Prepare our data architecture for next-generation AI/ML integration, incorporating modern semantic structures and maintaining awareness of knowledge graph architectures to support advanced context retrieval.
<>Cross-Functional Communication & Leadership
Serve as a primary translator between business executives, store/e-commerce operational leaders, and technical implementation teams.
Communicate complex architectural decisions, trade-offs, and technical roadmaps clearly to both technical and non-technical stakeholders.
Required Qualifications & Technical Skills
- Seniority & Experience: 8+ years of progressive experience in data architecture, data engineering, and enterprise database design.
- Core Cloud Platform: Deep expertise in Snowflake architecture, multi-cluster management, performance optimization, and data sharing within complex enterprise environments.
- Cloud Infrastructure: Strong hands-on experience with AWS native data services (e.g., S3, Glue, Redshift, Athena, IAM, EKS/ECS).
- Pipeline Frameworks: Demonstrated experience with enterprise orchestration tools, specifically Astronomer / Apache Airflow.
- Advanced SQL: Exceptional, advanced SQL skills for complex analytics, data transformation, optimization, and query tuning.
- Domain Expertise: Strong preferences for Retail industry background specifically with store-side operations, point-of-sale (POS), supply chain, or e-commerce workflows. (Candidates with heavy Finance or Healthcare enterprise experience will also be strongly considered).
- Modern Data Concepts: Proven understanding of semantic layer design (e.g., dbt, Cube, AtScale), data cataloging, and metadata management.
- Communication: Outstanding verbal and written communication skills with a track record of driving cross-departmental alignment.
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