Solutions Architect - Platform, Cloud Infrastructure and Security

SunnyData; United States; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health Insurance

Paid Time Off

Career Growth Opportunities

Job summary

SunnyData is seeking a Solutions Architect specializing in Platform, Cloud Infrastructure, and Security. You will engage with customers to design scalable data solutions that meet security standards and work closely with sales to deliver technical presentations. Ideal candidates have 7+ years of experience and expertise in data engineering technologies.

This role emphasizes innovation and collaboration, offering employees opportunities for professional growth in a dynamic environment focused on client success.

Qualifications

• 7+ years as a hands-on Solutions Architect with experience in Data Security.
• Expertise in Data Engineering technologies such as Spark or Hadoop.
• Proficiency in Python, Java, or Scala.
• Ability to lead complex architecture requirements and solution design sessions.

Responsibilities

• Engage with customers to understand their data architecture needs.
• Design and implement scalable data solutions that meet security standards.
• Collaborate with sales for technical presentations to clients.
• Evaluate data sources and recommend data inclusion strategies.

Skills

Solutions Architecture

Data Security

Customer Engagement

Technical Leadership

Data Engineering

Cloud Platforms

SQL

Programming in Python or Java

Team Leadership

Education

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

Tools

Terraform

Databricks

Spark

Kafka

Job description

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: 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.

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.

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.