Principal Solutions Architect
Core
Design, build, and deploy comprehensive data solutions for AI, ML, and business intelligence initiatives while serving as a trusted advisor to customers.
Role type
Principal Solutions Architect (Data Engineering & AI)
Builds
Scalable data architectures, data engineering pipelines, and advanced ML/AI applications on Databricks
Domain
Data Engineering, Machine Learning, Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data Engineering, Databricks, Spark, Hadoop, Kafka, Data Modeling, ETL, Data Integration, Cloud Platforms (AWS/Azure/GCP), SQL, Java/Python/Scala, Solution Architecture, Team Leadership
Preferred skills
Distributed Storage, Data Integration Tools, Automated Pipelines, Workflow Orchestration
Technologies
Databricks, Spark, Hadoop, Kafka, AWS, Azure, GCP, S3, ADLS, HDFS, GCS, dbt, Airflow, NiFi
Responsibilities
Serve as a trusted advisor to customers on data architecture needs; Design and deploy data solutions for AI/ML/Business Intelligence; Collaborate with sales teams for pre-sales technical support; Manage multiple customer accounts and ensure timely delivery; Architect solutions with focus on governance, security, and quality; Evaluate data sources and recommend inclusion strategies; Lead internal teams and mentor project teams; Resolve system defects and ensure data accuracy; Test data movement and transformation code
Seniority
Principal, hands-on IC with leadership