Senior Data Architect - Databricks
First seen by Alion on Oct 23, 2026.
Role Overview :
As a Senior Data Architect, you will be responsible for designing and building reference architectures, creating how-tos, and operationalizing customer use cases.
Responsibilities :
- Handle a variety of impactful customer technical projects that may include designing and building reference architectures, creating how-tos, and operationalizing customer use cases.
- Work with engagement managers to scope a variety of professional services and work with input from the customer.
- Guide strategic customers as they implement transformational big data projects and 3rd party migrations, including end-to-end design, build, and deployment of industry-leading big data and AI applications.
- Consult on architecture and design; bootstrap or implement customer projects, which leads to a customer's successful understanding, evaluation, and adoption of Databricks.
- Provide an escalated level of support for customer operational issues.
- Collaborate with the project manager, architect, and customer teams to ensure the technical components of the engagement are delivered to meet customer needs.
- Mentor and guide junior data engineers and team members.
Requirements :
- 6+ years of experience in data engineering, data platforms, and analytics on the Databricks platform.
- Experience with large-scale data migrations to/from Databricks.
- Consulting / customer-facing experience, working with external clients across a variety of industry markets.
- Comfortable writing code in either Python or Scala.
- Working knowledge of two or more common cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
- Deep experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals.
- Familiarity with CI/CD for production deployments.
- Working knowledge of MLOps.
- Design and deployment of performant end-to-end data architectures.
- Experience with technical project delivery managing scope and timelines.
- Documentation and whiteboarding skills.
- Experience working with clients and managing conflicts.
- Deployment and integration of Databricks-based solutions to complete customer projects.
- Must have Databricks certifications.
- Strong communication and collaboration skills.
- Excellent problem-solving skills.
- Ability to travel up to 30% when needed.
Skills
Data Architect, Databricks, Apache Spark, Python, Scala, AWS, Azure, Data Migration