Cloud Data Warehousing Solutions Architect

Databricks; United States; On-site; USD 219,000 - 301,000; Full time

Job summary

Databricks seeks a Specialist Solutions Architect - Data Warehousing to guide customers through cloud data warehousing transformations using the Databricks platform. This customer-facing role partners with Solution Architects, emphasizes hands-on production experience with large-scale data warehousing and lakehouse architectures, and drives evaluation and migration planning.

You will lead architecture design, optimize end-to-end pipelines, tune performance, and transfer knowledge through

Qualifications

• 5+ years experience in a technical role with data warehousing expertise.
• Experience designing and implementing data warehousing technologies including relational databases and data analytics.
• Specialty in data warehousing evaluations, migrations, or workload optimization.
• Production programming experience in SQL and one of Python/Scala/Java.
• Cloud experience with AWS, Azure, or GCP.

Responsibilities

• Provide technical leadership to guide customers through cloud transformations from evaluation to production deployment.
• Architect production workloads and optimize end-to-end pipelines with Databricks.
• Assist with advanced aspects of technical sales, proof-of-concept content, and workload sizing.

Skills

Data warehousing

Query tuning

Performance tuning

Data governance

Troubleshooting

Migration workloads

Production programming

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent

Tools

SQL

Python

Scala

Java

Job description

Databricks seeks a Specialist Solutions Architect - Data Warehousing to guide customers through cloud data warehousing transformations using the Databricks platform. This customer-facing role partners with Solution Architects, emphasizes hands-on production experience with large-scale data warehousing and lakehouse architectures, and drives evaluation and migration planning.

You will lead architecture design, optimize end-to-end pipelines, tune performance, and transfer knowledge through