Data Solutions Architect (Financial Services)

The role

You will drive customer success through hands on technical execution and presales support. You will design, build, and deploy end to end data solutions for AI, ML, and business intelligence.

What you will do

• Serve as a trusted advisor to customers regarding data engineering and architecture strategy.
• Design, build, and deploy end to end data solutions.
• Partner with sales teams to present technical solutions to prospective clients.
• Manage multiple customer accounts and ensure timely delivery.
• Architect data solutions incorporating governance, security, and data quality.
• Evaluate data sources and recommend inclusion strategies.
• Guide internal teams, mentor project members, and educate end users.
• Perform system analysis and diagnose data and system defects.
• Test data movement, transformation code, and data components.
• Take technical solutions into production.

Required qualifications

• 7+ years as a hands on Solutions Architect and/or Senior Data Engineer
• Recent experience implementing data solutions on Databricks
• Expertise in data engineering technologies (Spark, Hadoop, Kafka)
• Expertise in the Databricks platform
• Expertise in data science/ML tooling (pandas, scikit-learn)
• Deep understanding of the end to end data analytics workflow (data modeling, ETL, data integration)
• Ability to run architecture discovery, run solution design sessions, and build implementation blueprints
• Proficiency in Java, Python, and/or Scala
• Experience with AWS, Azure, and/or GCP
• Able to write, debug, and optimize SQL queries
• Strong written and verbal communication
• Experience in client facing roles

Nice to have

• Familiarity with cloud and distributed data storage systems such as S3, ADLS, HDFS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems
• Experience with data integration technologies like Spark, Kafka, StreamSets, Matillion, Fivetran, NiFi, AWS Data Migration Services, Azure Data Factory, and Informatica Intelligent Cloud Services (IIC
• Comprehensive experience with the complete SDLC
• Expertise in automated data transformation and curation using tools like dbt, Spark, Spark Streaming, and automated pipelines
• Experience with workflow management and orchestration tools like Airflow, AWS Managed Airflow, Luigi, and NiFi
• Background working in the Financial Services industry, preferably in a banking environment
• Understanding of industry compliance requirements and standards, specifically in banking IT landscapes
• At least 2 certifications: Associate Developer for Apache Spark, Data Engineer Associate, Professional Data Engineer, Machine Learning Associate, or Professional ML Engineer

Benefits

• Health Insurance for employees and eligible family members including spouses, domestic partners, and children
• Minimum of 15 days Paid Time Off annually
• Nine paid company Holidays
• Opportunity to grow technical and people skills
• Performance-based cash incentive awards

About the company

SunnyData is a leading Databricks technology partner, helping customers build scalable architectures, robust data engineering pipelines, and advanced ML and AI applications.