Databricks Architect
Databricks Architect
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Salary Not Disclosed
1 Vacancy
Job Description
Title:
Databricks Architect
Onsite schedule:
2-3 days onsite (Arlington VA)
4250 N Fairfax Drive 11th floor
Arlington VA 22203
(HEAVILY PRIORITIZED)
Also open to someone sitting in St Louis
Position Overview:
We are seeking a highly skilled and strategic Lead Databricks Architect to spearhead our migration from Hadoop to Databricks establishing scalable repeatable Lakehouse solutions. You will lead the design implementation and optimization of cloud-based data platforms enabling advanced analytics AI capabilities and modern data governance. This role requires deep expertise in big data architectures hands-on experience with Databricks and a proven track record in cloud migration projects.
Key Responsibilities
- Lead the identification and categorization of existing Hadoop workloads (ETL batch streaming) and data sources for migration to Databricks.
- Design and implement scalable repeatable migration use cases focusing on MVP (Minimum Viable Product) approaches to accelerate value delivery.
- Provision and architect Databricks environments including sandbox workspaces with Lakehouse architecture and federation capabilities.
- Enable seamless connectivity to external data sources (e.g. Hive) and oversee pilot migrations using tools such as Databricks Migration Accelerator or third-party partner solutions.
- Validate migrated workloads for performance cost efficiency and data integrity leveraging features like Z-ordering Liquid Clustering Lakehouse AI monitoring and Serverless warehouse capabilities.
- Monitor query performance storage efficiency and pipeline health using advanced Databricks features and best practices.
- Collaborate cross-functionally with data engineering analytics and governance teams to validate outcomes and incorporate feedback.
- Document learnings blockers and feature gaps to inform broader rollout and continuous improvement efforts.
- Define and track success metrics such as migration time query latency cost savings and feature adoption.
- Develop a phased roadmap for full-scale migration advanced feature adoption and future platform optimizations.
Qualifications
- Bachelors or Masters degree in Computer Science Engineering or related field.
- 10 years of experience in data architecture with significant hands-on experience in Hadoop and Databricks environments.
- Proven expertise in cloud data platforms (Azure) data engineering and ETL processes.
- Strong understanding of Lakehouse architecture data federation and modern data governance frameworks (e.g. Unity Catalog).
- Experience leading large-scale migration projects including MVP definition and iterative delivery.
- Advanced proficiency with Databricks features such as Delta Lake Liquid Clustering AI monitoring and serverless compute.
- Excellent communication leadership and stakeholder management skills.
- Ability to mentor and guide cross-functional teams in adopting best practices and innovative data solutions.
Preferred Skills
- Experience with Databricks Migration Accelerator or similar migration tools.
- Hands-on expertise in testing advanced features (dynamic clustering Lakehouse Federation Unity Catalog).
- Knowledge of data security access controls and compliance in cloud environments.
- Experience generating synthetic data and ensuring data governance in migration scenarios.
Employment Type
Full-time
