Note: This position is based in Dallas, TX and requires 5 days per week working from the office.
Only candidates who are currently located within the United States will be considered.
Applications from candidates residing outside the USA will not be accepted.
What is the client looking for? They want someone who can
own the architecture of an enterprise Snowflake data platform end-to-end-from understanding business requirements to designing the platform, guiding engineers, implementing governance/security, optimizing cost/performance, and enabling analytics/AI.
Job Summary: To play a pivotal role in designing and implementing complex technical solutions, ensuring they align with business objectives and industry best practices.
Key Responsibilities: - To design and architect large-scale solutions, ensuring scalability, performance, and security.
- To train and develop the team so as to ensure that there is an adequate supply of trained Client in the said technology and delivery risks are mitigated.
- To continuously upskill with cutting-edge tech to deliver high-quality, future-proof solutions meeting client expectations and industry standards.
- To leverage domain/tech expertise to gather client needs, deliver solutions, and craft a technology strategy aligned with business goals.
Skill Requirements: We are seeking an experienced Snowflake Data Architect to lead the design, implementation, and optimization of enterprise-scale cloud data platforms built on Snowflake. The ideal candidate will possess deep expertise in data architecture, cloud-native data warehousing, data modeling, governance, security, and modern data engineering practices. The architect will work closely with business stakeholders, data engineers, analytics teams, and enterprise architects to deliver scalable and secure data solutions.
Key Responsibilities: - Data Architecture & Strategy
- Snowflake Solution Design
- Data Engineering & Integration
- Security & Governance
- Performance & Cost Optimization
- nalytics & AI Enablement
Required Skills: - Snowflake Expertise: Snowflake Architecture, Snowflake Data Cloud, Snowpipe, Streams & Tasks, Time Travel & Cloning, Secure Data Sharing, External Tables, Dynamic Tables
- I: Snowflake Cortex (preferred) and AI Leadership
- Data Engineering: Advanced SQL, Python, DBT, ETL/ELT Frameworks, Data Modeling (Kimball, Data Vault, Dimensional Modeling)
- Cloud Platforms: AWS (S3, Lambda, Glue, Redshift, EventBridge) or Azure (ADF, ADLS, Synapse)
- Data Governance: Purview, Collibra, Alation, Atlan, Data Lineage, Metadata Management, Master Data Management
- DevOps & Automation: Git, CI/CD Pipelines, Terraform, Azure DevOps / GitHub Actions
- Experience : 10 + Years
Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law.
The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.
