Data Solutions Architect (Financial Services)
Core
Design, build, and deploy end-to-end data solutions on Databricks for AI, ML, and business intelligence initiatives while serving as a trusted advisor to customers.
Role type
Senior Solutions Architect (Data Engineering & Presales)
Builds
Scalable data architectures, robust data engineering pipelines, and advanced ML/AI applications
Domain
Financial Services / Data Engineering / Cloud Platforms (via careerplan.io/jobs/aa21adce-fc31-410c-86a1-2ed83b9a596f-data-solutions-architect-financial-services-at-sunnydata)
Deliverable
production ML models
Required skills
Databricks, Apache Spark, Kafka, Python, Java, Scala, SQL, AWS/Azure/GCP, Data Modeling, ETL, System Architecture
Preferred skills
Distributed Storage (S3, ADLS, HDFS), Data Integration (StreamSets, Fivetran, NiFi), Workflow Orchestration (Airflow, Luigi), Regulatory Compliance in Banking
Technologies
Databricks, Spark, Kafka, AWS, Azure, GCP, Python, Java, Scala, SQL, dbt, Airflow, S3, ADLS, HDFS
Responsibilities
Guide customer data engineering strategy, design and deploy data solutions, support presales technical demonstrations, manage multiple customer accounts, architect solutions with governance and security, evaluate data sources for analytics value, mentor internal teams, diagnose system defects, test data components for accuracy
Seniority
Senior, hands-on IC with team leadership