Location: Remote
Duration of project: 6 months+
Mode of Interview: Video
Recruiting Notes:
- Seeking candidates with strong hands-on architecture and engineering experience.
- Must have proven experience building and implementing solutions, not just designing high-level architectures.
- Strong data modeling and data architecture skills are required.
- Experience with Lakehouse and BI implementations is highly preferred.
- Looking for candidates with a balance of architectural expertise and hands-on technical execution.
Note: The client is looking for a candidate similar to Timothy (attached resume). Kindly review his profile and source someone with comparable experience and skill set. Please do not reach out to Timothy, as he has been terminated for this position.
Candidate must have an updated LinkedIn profile with a profile picture, Long term projects and no career gaps. Additionally, please submit a concise resume, as the client will not consider profiles that are 7–10 pages long
Notes:
- Architecture and hands on development
- Databricks is new at ripple treasury
- Will be their data platform of the future
- built on Azure/SQL server
- for cash, liquidity, forecasting, payments
- bring the data into Databricks and use platform for BI and AI in the future
- need someone who has data background and knowledgeable to help with architecture, design, and developers
- know frameworks used in Databricks
- person would also lead the buildout of the platform (from a functional subject matter expert)
- will build and then stabilize the platform
Job Overview:
We are seeking a highly skilled Senior Databricks Architect/Engineer to lead the design, development, and implementation of a next-generation data platform. This role will be instrumental in building a scalable Databricks-based solution to support treasury functions such as cash management, liquidity, forecasting, and payments, while enabling future BI and AI capabilities.
Key Responsibilities:
- Design and architect a scalable Databricks-based data platform from the ground up
- Perform hands-on development using Databricks, PySpark, and SQL
- Build and optimize data pipelines to ingest data from Azure/SQL Server environments
- Implement data architecture frameworks (e.g., medallion architecture)
- Configure and optimize Databricks clusters for performance and cost efficiency
- Collaborate with stakeholders to gather requirements and translate them into technical solutions
- Provide technical leadership and guidance to development teams
- Ensure platform stability through monitoring, optimization, and best practices
- Support integration with downstream tools for BI and AI use cases
Required Skills & Experience:
- Strong hands-on experience with Databricks (Azure preferred)
- Proficiency in PySpark, SQL, and data engineering concepts
- Experience designing and implementing data platforms and architectures
- Solid understanding of Azure services (ADF, ADLS, SQL Server, etc.)
- Experience with data pipeline frameworks and ETL/ELT processes
- Knowledge of cluster management, performance tuning, and optimization
- Strong communication and stakeholder management skills
- Ability to work independently in a remote environment
- Experience in financial or treasury data domains (cash, liquidity, payments)
- Familiarity with Delta Lake, Unity Catalog, and data governance practices
- Exposure to BI tools and AI/ML integration
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