Specialist Solutions Architect (Data Warehousing)
Databricks1 day ago
Tokyo, JapanSenior
Responsibilities
- Provide technical leadership for strategic customers undergoing cloud transformations involving large-scale data warehousing workloads.
- Architect production workloads on the Databricks Data Intelligence Platform and perform end-to-end pipeline load performance testing and optimization.
- Support data warehousing evaluations, workload migrations, architecture design, production deployment, and technical roadmap planning.
- Assist Solution Architects with custom proof-of-concept content, workload sizing, performance estimation, and production tuning.
- Provide tutorials and training through activities including hackathons and conference presentations, and contribute to the Databricks Community.
Requirements
- 5+ years of experience in a technical role specializing in data warehousing, including query tuning, performance tuning, troubleshooting, query conversion, debugging MPP data warehouses, or migration workloads.
- Experience designing and implementing data warehousing technologies involving relational databases, SQL, data analytics, MPP, and OLAP.
- Deep expertise in scaling cloud analytical workloads, evolving or migrating production data warehouses, data modeling and governance, business intelligence integration, or migrating on-premises EDW workloads to the public cloud.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience.
- Production programming experience with SQL and Python, or Java for developing UDFs.
- Experience with AWS, Azure, or GCP cloud environments.
- At least 2 years of professional experience with data warehousing and big data technologies, such as SQL, Redshift, SAP, Synapse, Snowflake, OLAP, and OLTP workloads.
- At least 2 years of customer-facing experience in a pre-sales or post-sales role.
- Fluent Japanese proficiency is required and business-level English is preferred.
- Databricks Certification is preferred.
- Ability to meet technical training and role-specific outcome expectations within six months of hire.
Benefits
- Comprehensive employee benefits and perks are offered, with region-specific details available for the Tokyo, Japan location.
Categories
Solutions Engineering
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.