Principal Solutions Architect (Financial Services)

SunnyData · Remote · United States ·
Fully remoteFull-timeLead8+ years
COMPENSATION
€•• – ••k
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  • Principal level role
  • Fully remote (US)
  • Databricks partner
  • Financial Services focus
  • 10+ years experience

As a Principal Solutions Architect at SunnyData, you will split your time evenly between hands-on technical delivery and presales support. You will serve as a trusted advisor to clients, guiding their data engineering strategies and building robust solutions on the Databricks platform.

You will partner with sales teams to demonstrate technical value while managing multiple customer accounts. The role requires leading architecture discovery sessions, ensuring solution quality, and mentoring internal project teams to deliver innovative AI and ML applications.

What you'll do

  • Guide customer data engineering and architecture strategy using Databricks
  • Design and deploy comprehensive data solutions for AI and business intelligence
  • Partner with sales to present technical solutions to prospective clients
  • Manage multiple accounts ensuring timely delivery and clear progress reporting
  • Architect solutions with best practices in governance, security, and data quality
  • Mentor project teams and educate end users on data products
  • Diagnose system defects and perform root cause analysis
  • Test data movement and transformation code for accuracy

What you'll need

  • 10+ years as Solutions Architect or Senior Data Engineer
  • Recent experience implementing data solutions on Databricks
  • Expertise in Spark, Hadoop, Kafka, and Databricks platform
  • Proficiency in Java, Python, and/or Scala
  • Experience with AWS, Azure, and/or GCP cloud platforms
  • Strong ability to write, debug, and optimize SQL queries
  • Proven client-facing communication and presentation skills
  • Experience producing detailed solution documentation and POCs
  • Bachelor's degree in Computer Science or related field

Nice to have

  • Familiarity with S3, ADLS, HDFS, Cassandra, or NoSQL systems
  • Experience with data integration tools like Fivetran or NiFi
  • Expertise in automated pipelines using dbt or Spark Streaming
  • Knowledge of workflow orchestration via Airflow or Luigi
  • Background in Financial Services or banking environments
  • Understanding of regulatory compliance in banking IT
  • Relevant certifications in Spark, Data Engineering, or ML

Stack

  • Databricks
  • Spark
  • Hadoop
  • Kafka
  • Python
  • Java
  • Scala
  • SQL
  • AWS
  • Azure
  • GCP

How you'll work

  • Fully remote position
  • Pacific Time or West Coast residence preferred
  • Split between technical execution and presales support

What you get

  • Health insurance from day one for employees and family
  • Minimum 20 days paid time off annually
  • Nine paid company holidays
  • Performance-based cash incentive awards
  • Opportunities for professional development and career growth