Senior Data & AI Solutions Architect – Finance (Remote)

SunnyData; Northern (KY); À distance; USD 150 000 - 190 000; Plein temps

Avantages offerts par ce poste

Remote first

Growth opportunities

Mentorship from senior leaders

Competitive compensation

Résumé du poste

SunnyData is seeking a Principal Solutions Architect (Financial Services) to lead data engineering initiatives on Databricks, while actively supporting presales activities with clients across the United States. You will design and deploy end-to-end data platforms, mentor engineers, and drive architectural decisions that balance performance, security, and scale.

The role emphasizes hands-on delivery and collaboration with sales, customers, and internal teams to ensure successful outcomes in

Qualifications

• 10+ years as hands-on Solutions Architect and/or Senior Data Engineer.
• Experience implementing data solutions on Databricks.
• Strong data modeling, ETL, and end-to-end analytics knowledge.

Responsabilités

• Serve as trusted advisor guiding data engineering and architecture strategy around Databricks.
• Design, build, and deploy data solutions for AI/ML and BI.
• Partner with sales to present technical solutions to clients (presales).
• Manage multiple customer accounts with clear progress reporting.
• Architect data solutions with governance, security, and data quality in mind.
• Evaluate data sources and suggest inclusion strategies for analytics.
• Lead and mentor project teams and educate end users on data products.

Connaissances

Databricks

Data engineering

Java/Python/Scala

Cloud platforms

SQL

Client facing

Leadership

Mentorship

Presentation

Formation

Bachelor's degree in Computer Science or related field

Outils

Databricks platform

Spark

Hadoop

Kafka

dbt

Description du poste

SunnyData is seeking a Principal Solutions Architect (Financial Services) to lead data engineering initiatives on Databricks, while actively supporting presales activities with clients across the United States. You will design and deploy end-to-end data platforms, mentor engineers, and drive architectural decisions that balance performance, security, and scale.

The role emphasizes hands-on delivery and collaboration with sales, customers, and internal teams to ensure successful outcomes in