Databricks Architect

Hring on behalf of a client

Databricks Architect. Full time hire / require travel to the clients office in Dublin, OH up to 2 days per week.

candidates local to the Dublin, OH area or willing to commute to that area up to 2 times per week are preferrable.

Role & Responsibilities Overview:

Lead and/or assist in designing and developing data systems, tailoring solutions to meet client specific requirements
Design and implement databricks based solutions with a focus on distributed data processing , data partitioning and optimization for parallelism
Engage with client to evaluate their current and future needs, crafting bespoke solution architectures and providing strategic recommendations
Develop comprehensive architecture solution roadmaps integrating client business processes and technologies
Define and enforce coding standards for ETL processes, ensuring maintainability, reusability, and adherence to best practices
Architect and implement CI/CD pipelines for databricks notebooks and jobs, ensuring testing , versioning and deployment
Disaster recovery strategies for databricks environments, ensuring data resilience and minimal downtime in case of failure
Innovate and expand solution offerings to address data challenges
Advise stakeholders on data cloud platform architecture optimization, focusing on performance
Experienced with Scrum and Agile Methodologies to coordinate global delivery teams, run scrum ceremonies, manage backlog items, and handle escalations
Integrate data across different systems and platforms
Strong verbal and written communication skills to manage client discussions

Candidate Profile:
5+ years experience in architecture, design and implementation using databricks
Experience in designing and implementing scalable, fault tolerant systems
Deep understanding of one or more of the big data compute technologies such as databricks, snowflake
Demonstrated experience with the deployment of databricks on cloud platforms , including advanced configurations
In depth knowledge of spark internals, catalyst optimization, and databricks runtime environment
Must have experience in implementing solution using Databricks
Experience in Insurance (P&C) is good to have
Programming Languages SQL, Python
Technologies Databricks, Delta Lake storage, Spark (PySpark, Spark SQL). o Good to have - Airflow, Splunk, Kubernetes, Power BI, Git, Azure Devops
Project Management using Agile, Scrum
B.S. Degree in a data-centric field (Mathematics, Economics, Computer Science, Engineering or other science field), Information Systems, Information Processing or engineering. Excellent communication & leadership skills, with the ability to lead and motivate team members Ability to work independently with some level of ambiguity and juggle multiple demands