Hello,
Hope you’re doing well!
Please find the job description for the Data Architect role below. Kindly review the requirements and responsibilities and let me know if you are interested in exploring this opportunity.
If interested, please share your updated resume along with your availability for a call.
Job Description:
- 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.
Trust is Contagious!!
Best Regards,
|
Anjali Pandey Sr Technical Recruiter || FUSTIS LLC |
|
(916) 822-6117 EXT : 116 | | anjali.pandey@fustis.com |
|
3400 Cottage Way, Ste G2 #13814, Sacramento, California 95825 |
