Data Solutions Architect (Financial Services)
SunnyData · Remote · United States ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Fully remote
- Databricks partner
- 7+ years experience
- Presales & Delivery
- Financial Services
As a Data Solutions Architect at SunnyData, you will serve as a trusted advisor to customers, guiding their data engineering and architecture strategies with a focus on Databricks solutions. You will split your time equally between hands-on technical execution, such as designing and deploying end-to-end data pipelines, and presales support, where you partner with sales teams to demonstrate technical value to prospective clients.
What you'll do
- Guide customer data engineering and architecture strategy using Databricks
- Design and deploy end-to-end data solutions for AI, ML, and BI initiatives
- Partner with sales teams to present technical solutions to prospective clients
- Manage multiple customer accounts ensuring timely delivery and clear reporting
- Architect data solutions incorporating governance, security, and quality best practices
- Mentor project members and educate end users on data products
- Diagnose data and system defects and apply appropriate fixes
- Test data movement and transformation code for accuracy and reliability
What you'll need
- 7+ years as a Solutions Architect or Senior Data Engineer
- Recent experience implementing data solutions on Databricks
- Expertise in Spark, Hadoop, Kafka, and Databricks platform
- Proficiency in Java, Python, and/or Scala
- Experience with AWS, Azure, and/or GCP cloud platforms
- Strong ability to write, debug, and optimize SQL queries
- Proven client-facing communication and presentation skills
- Experience producing detailed solution documentation and POCs
- Bachelor's degree in Computer Science or related field
Nice to have
- Familiarity with S3, ADLS, HDFS, GCS, or NoSQL storage systems
- Experience with data integration tools like Fivetran, NiFi, or Informatica
- Expertise in automated pipelines using dbt or Spark Streaming
- Experience with workflow orchestration tools like Airflow or Luigi
- Background in Financial Services or banking environments
- Understanding of banking IT compliance and regulatory standards
- Certifications in Apache Spark, Data Engineering, or Machine Learning
Stack
- Databricks
- Spark
- Hadoop
- Kafka
- Python
- Java
- Scala
- SQL
- AWS
- Azure
- GCP
- pandas
- scikit-learn
How you'll work
- Fully remote position
- Nationwide market range for salary
What you get
- Health insurance for employees and eligible family from day one
- Minimum 15 days paid time off annually
- Nine paid company holidays
- Performance-based cash incentive awards
- Opportunities for technical and leadership skill growth