Senior Databricks Solutions Architect (Remote)

TISTA Science and Technology Corporation; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

TISTA Science and Technology Corporation is seeking a full-time Resident Solutions Architect (RSA) for Databricks, capable of designing cloud-native, secure, scalable architectures in a remote capacity. You will lead end-to-end Databricks/Spark/Delta Lake implementations, guide data engineering and science teams, and ensure compliance with security standards across AWS, Azure, or GCP.

This role requires strong technical mentorship, hands-on coding, and a track record of delivering resilient data

Qualifications

• 8+ years of experience in solutions architecture or related roles.
• Expertise in Databricks, Spark, and Delta Lake.
• Experience designing secure, cloud-native architectures across AWS/Azure/GCP.
• Hands-on SQL, Python, R, or Scala in data/analytics contexts.
• Master's degree or Bachelor's with 10+ years of experience.

Responsibilities

• Design and implement end-to-end architectures on Databricks, Spark, and Delta Lake for large-scale ingestion and advanced analytics.
• Architect medallion data lakehouse patterns with batch and real-time pipelines, enabling ML/AI capabilities.
• Provide technical leadership and mentorship to engineering and data science teams while ensuring compliance with security standards.

Skills

Databricks

Apache Spark

Delta Lake

Cloud architecture

Python

SQL

Security/compliance

Leadership

Education

Master's degree in a technical discipline

Bachelor's with 10+ years experience

Tools

AWS

Azure

GCP

Job description

TISTA Science and Technology Corporation is seeking a full-time Resident Solutions Architect (RSA) for Databricks, capable of designing cloud-native, secure, scalable architectures in a remote capacity. You will lead end-to-end Databricks/Spark/Delta Lake implementations, guide data engineering and science teams, and ensure compliance with security standards across AWS, Azure, or GCP.

This role requires strong technical mentorship, hands-on coding, and a track record of delivering resilient data