Sr. Specialist Solutions Engineer - Data Warehousing (Financial Services)
About the position
As a Sr. Specialist Solutions Engineer (SSA) - Data Warehousing , you will guide customers in their cloud data warehousing transformation with Databricks that span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large scale data warehousing technologies and lake house architecture. SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the data warehousing specialty - including performance tuning, data modeling, winning competitive evaluations, architecture design, and production migration planning.
The impact you will have:
Provide technical leadership to guide strategic customers to successful cloud transformations on large scale data warehousing workloads - ranging from evaluation to architecture design to production deployment.
Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization.
Become a technical expert in an area such as competitive data warehousing evaluations or helping set up successful workload migrations.
Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production.
Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
Contribute to the Databricks Community.
Responsibilities
• Provide technical leadership to guide strategic customers to successful cloud transformations on large scale data warehousing workloads - ranging from evaluation to architecture design to production deployment.
• Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization.
• Become a technical expert in an area such as competitive data warehousing evaluations or helping set up successful workload migrations.
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production.
• Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
• Contribute to the Databricks Community.
Requirements
• 5+ years experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, data governance, debugging MPP data warehouses or other big data solutions, or migration workloads from EDW systems.
• Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics, NoSQL, MPP, OLTP, and OLAP.
• Deep Specialty Expertise in at least one of the following areas:
Experience scaling large analytical data workloads in the cloud that are performant and cost-effective.
• Maintained, extended, or migrated a production data warehouse system to evolve with complex needs, including data modeling, data governance needs, and integration with business intelligence tools.
• Experience successfully migrating on-premise EDW workloads to the public cloud.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
• Production programming experience in SQL and Python, Scala, or Java.
• Experience with the AWS, Azure, or GCP clouds is highly desirable.
• 3 years professional experience with data warehousing and big data technologies (Ex: SQL, Redshift, SAP, Synapse, EMR, OLAP & OLTP workloads)
• 3 years customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 6 months of hire
• This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed.
Nice-to-haves
• Experience with the AWS, Azure, or GCP clouds is highly desirable.
Benefits
• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Apply tot his job
Apply To this Job
As a Sr. Specialist Solutions Engineer (SSA) - Data Warehousing , you will guide customers in their cloud data warehousing transformation with Databricks that span a large variety of use cases. You will be in a customer-facing role, working with and supporting Solution Architects, that requires hands-on production experience with large scale data warehousing technologies and lake house architecture. SSAs help customers through evaluations and successful production planning for their business intelligence workloads while aligning their technical roadmap for the Databricks Data Intelligence Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs and establish yourself in the data warehousing specialty - including performance tuning, data modeling, winning competitive evaluations, architecture design, and production migration planning.
The impact you will have:
Provide technical leadership to guide strategic customers to successful cloud transformations on large scale data warehousing workloads - ranging from evaluation to architecture design to production deployment.
Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization.
Become a technical expert in an area such as competitive data warehousing evaluations or helping set up successful workload migrations.
Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production.
Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
Contribute to the Databricks Community.
Responsibilities
• Provide technical leadership to guide strategic customers to successful cloud transformations on large scale data warehousing workloads - ranging from evaluation to architecture design to production deployment.
• Prove the value of the Databricks Intelligence Platform for customer workloads by architecting production workloads, including end-to-end pipeline load performance testing and optimization.
• Become a technical expert in an area such as competitive data warehousing evaluations or helping set up successful workload migrations.
• Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing and performance, and tuning workloads for production.
• Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
• Contribute to the Databricks Community.
Requirements
• 5+ years experience in a technical role with expertise in data warehousing - such as query tuning, performance tuning, troubleshooting, data governance, debugging MPP data warehouses or other big data solutions, or migration workloads from EDW systems.
• Experience with design and implementation of data warehousing technologies including relational databases, SQL, data analytics, NoSQL, MPP, OLTP, and OLAP.
• Deep Specialty Expertise in at least one of the following areas:
Experience scaling large analytical data workloads in the cloud that are performant and cost-effective.
• Maintained, extended, or migrated a production data warehouse system to evolve with complex needs, including data modeling, data governance needs, and integration with business intelligence tools.
• Experience successfully migrating on-premise EDW workloads to the public cloud.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
• Production programming experience in SQL and Python, Scala, or Java.
• Experience with the AWS, Azure, or GCP clouds is highly desirable.
• 3 years professional experience with data warehousing and big data technologies (Ex: SQL, Redshift, SAP, Synapse, EMR, OLAP & OLTP workloads)
• 3 years customer-facing experience in a pre-sales or post-sales role
• Can meet expectations for technical training and role-specific outcomes within 6 months of hire
• This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed.
Nice-to-haves
• Experience with the AWS, Azure, or GCP clouds is highly desirable.
Benefits
• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Apply tot his job
Apply To this Job