Solutions Architect - Platform, Cloud Infrastructure and Security

SunnyData; Northern (KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote first

Room to grow

Real learning

Horizontal by design

Job summary

SunnyData, a leading Databricks technology partner, seeks a Solutions Architect to design and implement scalable data infrastructure focused on platform, cloud infrastructure and security. You will work with customers to deliver end-to-end data solutions and lead cross-functional teams.

The role emphasizes pre-sales collaboration, security-by-design, and accelerating AI/ML initiatives while ensuring robust data governance and quality. Remote, full-time, with growth opportunities.

Qualifications

• 7+ years as a hands-on Solutions Architect with experience in Data Security or related areas.
• Expertise in two or more: Cloud Security, Cloud Networking, Encryption, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control.

Responsibilities

• Serve as trusted advisor to customers, guiding data engineering and architecture needs with Databricks solutions.
• Design, build, and deploy data solutions supporting AI, ML and BI initiatives.
• Collaborate with sales to present technical solutions and value to prospective clients.
• Manage multiple accounts, ensuring timely delivery and reporting outcomes.
• Architect data solutions with governance, security, and quality in mind.
• Lead internal teams, mentor project teams, and educate end users on data products.

Skills

Solutions Architecture

Databricks

Cloud Security

Data Engineering

SQL

Python/Java/Scala

DevOps/DevSecOps

Leadership

Education

Bachelor's degree in Computer Science

Tools

Terraform

GitHub/GitLab

SonarQube

Artifactory

Spark

Kafka

dbt

Airflow

Job description

We create the foundations for the AI future

Data and AI projects are easy to get excited about. Making them hold up in production is the hard part...
That's what we focus on: solid data engineering underneath, so the pipelines feeding AI actually work.

OUR TOOLS

Databricks and the modern data stack

We build on Databricks because it's the most complete data and AI platform out there, and it's only getting more central as AI moves faster. One platform for data engineering and AI/ML, cloud-native, scalable, and flexible enough to fit how a real business runs.

Our partners in tech

Alongside Databricks, we work with a focused set of partners: Fivetran, Prophecy, Monte Carlo, and Sigma, that plug straight into the Lakehouse and help us move fast without piling on complexity.

THE TEAM

The values driving us

Find a way

We focus on solutions, meeting challenges with grit and creativity.

Move with purpose

We act with urgency, stay focused on impact, and adapt quickly.

Own the outcome

We own both wins and misses, and treat every outcome as ours to shape.

Earn Trust

We show up with sincerity and integrity, communicating with respect and keeping our promises.

Win as One

We achieve success by actively sharing knowledge, collaborating openly, and lifting each other up.

JOIN US

Open positions

Interested in joining the SunnyData team? Please apply directly to the job opening that best matches your experience and interests. We will review your application and consider your background for relevant opportunities. Applying through the job posting ensures we receive the information needed to properly process your application.

Please do not also email your resume to SunnyData’s general email address.

Solutions Architect - Platform, Cloud Infrastructure and Security

Location

United States

Employment Type

Full time

Location Type

Remote

Department

Delivery

At SunnyData, a leading Databricks technology partner, our mission is to empower customers with scalable architectures, robust data engineering pipelines, seamless data consumption layers, and advanced ML and AI applications. As a Solutions Architect specialized in Platform, Cloud Infrastructure and Security, you will design and implement scalable data infrastructure while meeting security and compliance requirements.

The Impact You Will Have

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.

Required Experience

7+ years as a hands-on Solutions Architect with experience in Data Security or related areas. Expertise in two or more of the following: Cloud Security, Cloud Networking, Encryption, 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.

DevOps/DevSecOps: SDLC tooling such as Github, Gitlab, Continuous Inspection such as SonarQube and Artifact Management such as Artifactory

IaC tools like Terraform

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.

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.

Preferred Experience

Distributed Storage: Familiarity with cloud and distributed data storage systems such as S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems.

Data Integration: Experience with data integration technologies like Spark, Kafka, Streamsets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure DataFactory, and Informatica Intelligent Cloud Services (IICS).

Software Development Lifecycle: Comprehensive experience with the complete software development lifecycle including design, documentation, implementation, testing, and deployment.

Automated Pipelines: Expertise in automated data transformation and curation using tools like dbt, Spark, Spark streaming, and automated pipelines.

Workflow Management: Experience with workflow management and orchestration tools like Airflow, AWS Managed Airflow, Luigi, and NiFi.

Certifications (at least 2 of the following): Associate Developer for Apache Spark; Data Engineer Associate; Professional Data Engineer; Machine Learning Associate; Professional ML Engineer

Education:

Degree: 4-year Bachelor's degree in Computer Science or a related field.

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.

Compensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Our Commitment to Diversity and Inclusion:

SunnyData is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic.

Why Join SunnyData?

Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.

Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.

Career Growth: Opportunities for professional development and career advancement.

Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.

If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.

Your safety matters to us

We want to make sure your job search with SunnyData is a safe one. Here's how to tell it's really us:
Genuine SunnyData recruiters reach out only from @ sunnydata.ai addresses.
If we ever loop in an outside recruiting partner, they'll say so upfront and identify SunnyData by name.
We will never ask you for money, fees, or bank details at any point before your first day.
Get a message that feels off? Don't click anything on it. Go straight to sunnydata.ai/careers to check our current openings and confirm what's real.

Some of our benefits

Here's what you can count on as part of the team.

Remote first.

We meet our talent where they are. Work from anywhere, no relocation required.

Room to grow.

Mentorship from senior leaders, and real growth opportunities as we keep expanding.

Real learning.

Time and support to go deeper on the tools and problems you actually care about.

Horizontal by design, so hierarchy doesn't get in the way of being heard.

Specifics like healthcare, PTO, and other country-level details vary by location. We'll walk you through these additional benefits as you move through the process.