Senior Specialist Solutions Engineer

Stockholm - Sweden

Monthly Salary: Not Disclosed

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

As a Specialist Solutions Engineer (SSE) - Data Platform Engineering you will guide customers in building big data solutions on 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 Apache Spark pipeline orchestration and DevOps expertise. 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 engineering speciality - including pipeline design data modelling winning competitive evaluations architecture design and enterprise data governance integration with other catalogues and production migration planning.

The impact you will have:

Provide technical leadership to guide strategic customers to successful implementations on big data projects ranging from architectural design to data engineering to model deployment
Architect production level data pipelines including end-to-end pipeline load performance testing and optimization
Become a technical expert in an area such as data lake technology big data streaming or big data ingestion and workflows
Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content estimating workload sizing and custom architectures
Contribute to the Databricks Community

What we look for in Data Engineering & DevOps Skills:

Experience in a customer-facing technical role with expertise in the below:

Software Engineer/Data Engineer: data ingestion streaming technologies - such as Spark Streaming and Kafka performance tuning troubleshooting and debugging Spark or other big data solutions
Data Applications Engineer: Build use cases that use data - such as risk modeling fraud detection customer life-time value

Building data pipelines using big data technologies such as Spark/Delta or Hadoop
Experience with Development Tools for CI/CD Unit and Integration testing Automation and Orchestration REST API BI tools and SQL Interfaces (e.g. Jenkins)
Experience designing data solutions on cloud infrastructure and services such as AWS Azure or GCP using best practices in cloud security and networking.
Hands-on experience developing testing and deploying data models using dbt or equivalent technologies.
Pre-sales or post-sales experience working with external clients across a variety of industry markets or looking to learn and develop in a customer-facing technical role as a Subject Matter Expert (SME).
Graduate degree in a quantitative discipline (Computer Science Engineering Statistics Operations Research etc.) or equivalent practical experience
Production programming experience in SQL and Python Scala or Java.
Ability to travel up to 30% when needed

Required Experience:

Senior IC

The impact you will have:

Provide technical leadership to guide strategic customers to successful implementations on big data projects ranging from architectural design to data engineering to model deployment
Architect production level data pipelines including end-to-end pipeline load performance testing and optimization
Become a technical expert in an area such as data lake technology big data streaming or big data ingestion and workflows
Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content estimating workload sizing and custom architectures
Contribute to the Databricks Community

What we look for in Data Engineering & DevOps Skills:

Experience in a customer-facing technical role with expertise in the below:

Software Engineer/Data Engineer: data ingestion streaming technologies - such as Spark Streaming and Kafka performance tuning troubleshooting and debugging Spark or other big data solutions
Data Applications Engineer: Build use cases that use data - such as risk modeling fraud detection customer life-time value

Building data pipelines using big data technologies such as Spark/Delta or Hadoop
Experience with Development Tools for CI/CD Unit and Integration testing Automation and Orchestration REST API BI tools and SQL Interfaces (e.g. Jenkins)
Experience designing data solutions on cloud infrastructure and services such as AWS Azure or GCP using best practices in cloud security and networking.
Hands-on experience developing testing and deploying data models using dbt or equivalent technologies.
Pre-sales or post-sales experience working with external clients across a variety of industry markets or looking to learn and develop in a customer-facing technical role as a Subject Matter Expert (SME).
Graduate degree in a quantitative discipline (Computer Science Engineering Statistics Operations Research etc.) or equivalent practical experience
Production programming experience in SQL and Python Scala or Java.
Ability to travel up to 30% when needed

Required Experience:

Senior IC