Data Solutions Architect (Financial Services)
Core
Design, build, and deploy comprehensive data solutions for financial services clients, focusing on Databricks platforms to support AI, ML, and business intelligence initiatives.
Role type
Senior Solutions Architect (Data Engineering & Pre-Sales)
Builds
Scalable data engineering pipelines, data architecture solutions, and advanced ML/AI applications on Databricks
Domain
Financial Services / Data Engineering & Cloud Architecture
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data Engineering, Databricks, Spark, Python, SQL, Cloud Platforms (AWS/Azure/GCP), Solution Architecture, Team Leadership, Client-Facing, Technical Presentations
Preferred skills
Distributed Storage, Data Integration, Automated Pipelines, Workflow Orchestration, Financial Services Domain Knowledge, Regulatory Compliance
Technologies
Databricks, Spark, Kafka, AWS, Azure, GCP, Python, Java, Scala, dbt, Airflow, S3, ADLS, HDFS
Responsibilities
Serve as a trusted advisor to customers on data engineering 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 project delivery; Architect solutions with governance and security best practices; Evaluate data sources and recommend inclusion strategies; Lead internal teams and mentor engineers; Resolve system defects and ensure data quality through testing.
Seniority
Senior, hands-on IC with leadership responsibilities