Solutions Architect - Platform, Cloud Infrastructure and Security

SunnyData; United States; Remote; USD 180.000 - 260.000; Vollzeit

Benefits dieser Stelle

Health Insurance

Paid Time Off

Growth opportunities

Zusammenfassung

SunnyData is seeking a Solutions Architect focused on Platform, Cloud Infrastructure, and Security to design and implement scalable data infrastructure while ensuring security and compliance. You will divide time between billable work and pre-sales efforts, guiding customers through data engineering and architecture, and leading cross-functional teams to deliver end-to-end data solutions.

You will work with Databricks, cloud platforms, and governance practices to enable AI/ML and BI initiatives,

Qualifikationen

• 7+ years as a hands-on Solutions Architect with experience in Data Security or related areas.
• Experience designing data platforms on cloud infrastructure and services (AWS, Azure, or GCP) with cloud security and networking.
• Expertise in Data Engineering technologies (e.g., Spark, Hadoop, Kafka), Databricks platform, cloud platforms, security, automation, networking, or identity management.
• End-to-end data analytics workflow understanding; ability to lead architecture sessions and build implementation blueprints.
• SDLC tooling such as Github, Gitlab and Continuous Inspection like SonarQube; Artifact Management like Artifactory.
• IaC tools like Terraform.
• Programming skills in Python, Java, or Scala.
• Cloud Platforms: AWS, Azure, and/or GCP.
• SQL expertise: write, debug, optimize queries.
• Client-facing and presentation skills; ability to communicate with stakeholders.
• Documentation experience: POCs, roadmaps, diagrams, system views.
• Team leadership and mentoring experience.
• Ability to deliver end-to-end technical solutions with performance, security, and scalability.

Aufgaben

• Serve as trusted advisor to customers; balance billable and pre-sales work.
• Design, build, and deploy data solutions supporting AI/ML and BI initiatives.
• Collaborate with sales to present technical solutions to clients.
• Manage multiple customer accounts ensuring timely delivery and reporting of outcomes.
• Architect data solutions with governance, security, and quality considerations.
• Evaluate data sources and advise on inclusion strategies for analytics.
• Lead internal teams; mentor and educate end users on data products and analytic environments.
• Perform system analysis, assess and resolve data and system defects.
• Test data movement and transformation code to ensure accuracy and reliability.

Kenntnisse

Solutions Architect

Cloud Security

Cloud Networking

Data Security

Spark

Hadoop

Kafka

Databricks

Python

Java/Scala

SQL

Presentation Skills

Client Facing

DevSecOps

Terraform

GitHub/GitLab

IaC

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Databricks platform

Spark

Kafka

Terraform

GitHub

GitLab

SonarQube

Artifactory

dbt

Airflow

Jobbeschreibung

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.

Benefits

• 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.