Cloud Solutions Architect
Alpharetta, GA (5 days onsite) ..
- Recent 6-7 years of experience with direct Banking / financial services
- Data expertise with technologies Snowflake , Data bricks
- Cloud AWS 200+services
- Application exp architecture , collaboration
- Azure - Nice to have
Required Skills: 7+ year’s experience with Snowflake , databricks , integration with another technologies like Kumao.ai
Job Location: Alpharetta, GA (5 days onsite) .. Need local candidates only
Job Title: Cloud Solutions Architect
Duration: 12 Months
Target Start Date: ASAP
JOB DESCRIPTION – DATA SOLUTION ARCHITECT
Overview:
We are looking for an experienced Data Solution Architect who can serve as a technical translator and integration lead across multiple data engineering and infrastructure teams. The successful candidate will design and oversee end-to-end data solutions, coordinate across networking, UNIX, security, and database teams, and own the architectural framework for our data platform.
Key Responsibilities:
• Lead the architecture and implementation of data solutions integrating third-party products with cloud data platforms
• Understand and define network security requirements including private link configuration, firewall rules, and secure connectivity
• Act as technical liaison between data engineering, networking, UNIX/infrastructure, and security teams
• Design and govern data platform framework covering streaming, batch, and database patterns
• Evaluate solution options and make architectural recommendations aligned with enterprise standards
• Own solution delivery from design through deployment, ensuring all dependencies across teams are met
• Contribute to and maintain the architecture registry of approved data solutions
Required Skills & Experience:
• Strong background in data architecture, application and solution design
• Hands-on experience with cloud data platforms — Snowflake, Databricks preferred; other platforms considered
• Understanding of enterprise networking concepts: private link, VPN, firewall rules, subnets
• Ability to work with UNIX/Linux teams on infrastructure requirements
• Experience with streaming architectures (Kafka, Spark Streaming, etc.) or batch data pipelines
• Proven track record of coordinating across multiple technical teams and stakeholders
• Strong communication skills — ability to translate technical requirements across teams
Nice to Have:
• Experience with Databricks or similar data lakehouse platforms
• Exposure to AI/ML frameworks (not mandatory)
• Background in enterprise data governance or solution architecture frameworks
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