Cloud Solutions Architect/Data Solutions Architect

Cloud Solutions Architect

Alpharetta, GA (5 days onsite) ..

1. Recent 6-7 years of experience with direct Banking / financial services
2. Data expertise with technologies Snowflake , Data bricks
3. Cloud AWS 200+services
4. Application exp architecture , collaboration
5. 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