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.