What are the responsibilities and job description for the AWS CLOUD DATA / SOLUTION ARCHITECHT position at Recutify Inc.?
Role: AWS CLOUD DATA / SOLUTION ARCHITECHT
Position: Full-Time, salaried w/benefits
Location: Ridgefield, CT (Hybrid / On-site preferred) - Flexible work from home days
Interview mode: Webcam
Job Description:
The ideal candidate will be responsible for designs and governs scalable, secure, cloud native data architecture. This role converts business and analytics needs into Snowflake models, patterns, and pipelines for consistent data ingestion, transformation, quality, and governance.
If you are passionate about cloud data architecture and are looking for an exciting opportunity to contribute this is the opportunity. We're looking for someone like you to bring expertise and energy to our dynamic team.
Focus Areas: Solution Design Snowflake dbt Data Management ETL , and data contracts is essential.
Duties & Responsibilities
Design scalable, cost efficient Snowflake based data architectures
Define standardized patterns for ingestion, transformation, modeling, and consumption
Develop solution blueprints, including data flows, lineage, and integrations
Establish and govern data contracts (schema, SLAs, validation, evolution)
Lead conceptual, logical, and physical modeling using tools like SqlDBM and dbt
Build modular, reusable dbt models with strong testing and CI/CD practices
Integrate data quality, observability, and metadata driven validation
Design orchestrated pipelines using Airflow, Jenkins, or similar tools
Ensure compliance with governance, security, and access control standards
Partner across data, platform, and governance teams; mentor engineers and analysts
Value of the Role
This role ensures reliable, transparent data flow from source to insight, enabling scalable data products, trusted analytics, and enterprise ready AI on a unified, well governed data foundation.
Requirements
Experience of analytics layers (Power BI, Tableau, semantic models)
Bachelor degree from an accredited institution with four-plus (4 ) years IT experience
In lieu of a degree, ten-plus (10 ) years of relevant IT experience required.
AWS Cloud experience is required.
One large-scale cloud modernization project.
Enterprise data architecture experience with Snowflake or similar platforms
Strong hands on ELT/ETL and dbt skills (models, tests, macros, CI/CD)
Deep understanding of Data Vault and dimensional modeling
Experience designing and governing data contracts
Advanced SQL and ELT expertise
Familiarity with orchestration tools, Git workflows, and governance platforms
Strong communication and stakeholder engagement skills
Additional: Experience with agile delivery models and willingness to travel occasionally as needed.
Added Advantage Qualifications
Data Vault 2.0 experience
Familiarity with Iceberg, external tables, and data catalogs
Exposure to cloud native and platform engineering practices
Pharmaceutical commercial data experience is a plus.