Solutions Architect - Platform, Cloud Infrastructure and Security

SunnyData · Remote · United States ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote
  • Senior level (7+ years)
  • Databricks partner
  • Cloud security focus
  • Pre-sales & delivery

As a Solutions Architect at SunnyData, you will design and implement robust data infrastructure while ensuring strict security and compliance standards. You will act as a trusted advisor to clients, splitting your time evenly between billable project work and pre-sales technical demonstrations.

Your responsibilities include leading architecture discovery sessions, mentoring engineering teams, and delivering end-to-end data solutions that support AI and business intelligence initiatives using modern data engineering techniques.

What you'll do

  • Serve as a trusted advisor for customer data architecture needs
  • Split time evenly between billable work and pre-sales activities
  • Design and deploy comprehensive data solutions for AI and ML
  • Collaborate with sales teams to demonstrate technical value
  • Manage multiple accounts and ensure timely solution delivery
  • Lead internal teams and mentor project engineers
  • Perform system analysis to resolve data and system defects
  • Test data movement and transformation code for accuracy

What you'll need

  • 7+ years experience as a hands-on Solutions Architect
  • Expertise in Cloud Security, Networking, or Identity Management
  • Proficiency in designing data platforms on AWS, Azure, or GCP
  • Strong knowledge of Databricks platform and Data Engineering tools
  • Experience with IaC tools like Terraform
  • Programming skills in Python, Java, or Scala
  • Ability to write, debug, and optimize complex SQL queries
  • Strong client-facing communication and presentation skills
  • Bachelor’s degree in Computer Science or related field

Nice to have

  • Familiarity with distributed storage like S3, ADLS, or Cassandra
  • Experience with data integration tools like Spark or Kafka
  • Knowledge of workflow orchestration via Airflow or NiFi
  • Certifications in Apache Spark, Data Engineering, or ML
  • Expertise in automated pipelines using dbt or Spark streaming

Stack

  • Databricks
  • AWS
  • Azure
  • GCP
  • Spark
  • Hadoop
  • Kafka
  • Terraform
  • Python
  • Java
  • Scala
  • SQL
  • Github
  • Gitlab
  • SonarQube
  • Artifactory

How you'll work

  • Fully remote position
  • Nationwide market range for compensation

What you get

  • Health insurance from day one for employees and family
  • Minimum 15 days paid time off annually
  • Nine paid company holidays
  • Performance-based cash incentive awards
  • Opportunities for professional development and career growth