Solutions Architect – Platform, Cloud Infrastructure, Security

SunnyData

Solutions Architect specializing in Platform, Cloud Infrastructure and Security at SunnyData. Engage with clients and design scalable data infrastructures meeting security and compliance requirements.

Posted 5/29/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformHadoopJavaKafkaKubernetesPythonScalaSparkSQLTerraform

About the role

Key responsibilities & impact

Customer Engagement: Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs with a focus on Databricks solutions. In this role you will split your time evenly between billable and pre-sales activity.
Technical Leadership: Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data to support AI, ML, and business intelligence initiatives.
Pre-Sales Support: Collaborate with sales teams to present technical solutions to prospective clients, demonstrating the value of SunnyData's offerings.
Project Oversight: Manage multiple customer accounts, ensuring timely delivery of solutions and tracking progress to report outcomes.
Solution Design: Architect data solutions, incorporating best practices in data governance, security, and quality.
Data Analysis: Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes.
Cross-Functional Collaboration and Leadership: Lead internal teams, provide direction and mentorship to project teams to deliver solutions and educate end users on data products and analytic environments.
Problem Resolution: Perform system analysis, assess and resolve data and system defects, and apply appropriate corrections.
Quality Assurance: Test data movement, transformation code, and data components to ensure accuracy and reliability.

Requirements

What you’ll need

7+ years as a hands-on Solutions Architect with experience in Data Security or related areas. Expertise in two or more of the following: Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response
Infrastructure and Security: designing data platforms on cloud infrastructure and services (AWS, Azure, or GCP), using best practices in cloud security and networking.
Technical Proficiency: Expertise in Data Engineering technologies (e.g., Spark, Hadoop, Kafka), Databricks platform, cloud platforms, security, automation, networking, or identity management
Architecture and leadership skills: In-depth understanding of the end to end data analytics workflow (e.g., data modeling, ETL processes, and data integration) using modern data engineering techniques; Ability to lead complex architecture requirements(discovery), solution design sessions and build out implementation architecture blueprints that can be implemented by data-engineering and analytics teams.
Programming Skills: Proficiency in Python, Java, or Scala
Cloud Platforms: AWS, Azure, and/or GCP.
SQL Expertise: Ability to write, debug, and optimize SQL queries.
IaC tools like Terraform
Client-Facing Skills: Strong written and verbal communication skills with experience in client-facing roles.
Presentation Skills: Ability to create and deliver detailed presentations to clients and stakeholders.
Documentation: Experience in creating detailed solution documentation including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views.
Team Leadership: Experience leading teams and mentoring other engineers.
End-to-End Solutions: Ability to develop end-to-end technical solutions into production, ensuring performance, security, scalability, and robust data integration.

Benefits

Comp & perks

Health Insurance : Employees and their eligible family members including spouses, domestic partners, and children are eligible for coverage from the first day of employment.
Paid Time Off : Start your career at SunnyData with a minimum of 15 days Paid Time Off annually, plus nine paid company Holidays.
An opportunity to grow your technical and people skills, lead teams on complex customer projects that are highly innovative and cutting edge. Great opportunity to grow in your career with the right level of focus, innovation and customer centricity with a high growth consulting company dedicated to Databricks.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Data EngineeringData SecurityCryptographyKubernetes SecurityWeb SecurityData ModelingETL ProcessesSQLPythonJava

Soft Skills

Client-Facing SkillsPresentation SkillsTeam LeadershipCross-Functional CollaborationProblem ResolutionTechnical LeadershipCommunication SkillsMentorshipProject OversightQuality Assurance