Specialist Solutions Architect

Platforms & Infrastructure

Confirmed live in the last 24 hours

Locations

United States

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

AWS

Data Analysis

Development Operations (DevOps)

Google Cloud Platform

Jenkins

Java

Microsoft Azure

REST APIs

Scala

SQL

Python

Requirements

5+ years experience in a DevOps role or a Demo Engineering role serving technical teams
Technical expertise in Azure, AWS or Google Cloud
Experience building and refining automation tools for cloud infrastructures
Experience designing Identity & Access Management (IAM) and security for large-scale organizations
Maintain and extend production data systems to evolve with complex business needs
Production programming experience in Python, R, Scala or Java
Deep Specialty Expertise in at least one of the following areas:
Experience with scaling big data workloads that are performant and cost effective
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 utilizing best practices in cloud security and networking
Experience implementing industry specific data analytics use cases
[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
{Nice to have} - Databricks Certification
Ability to travel up to 30% when needed

Responsibilities

Provide technical leadership to guide customers to successful implementations
Run and improve a unified infrastructure framework across Azure, AWS and GCP
Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures
Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
Contribute to the Databricks Community

This role can can be remote.

As a Specialist Solutions Architect (SSA) specializing in platforms & infrastructure, you will guide customers in building solutions on Databricks that span a large variety of use cases. You will be in a customer-facing role, working with and will support the Solution Architects. SSAs help customers through design and implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse 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 an area of specialty.

The impact you will have:

Provide technical leadership to guide customers to successful implementations
Run and improve a unified infrastructure framework across Azure, AWS and GCP
Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content, estimating workload sizing, and custom architectures
Provide tutorials and training to improve community adoption (including hackathons and conference presentations)
Contribute to the Databricks Community

What we look for:

5+ years experience in a DevOps role or a Demo Engineering role serving technical teams
Technical expertise in Azure, AWS or Google Cloud
Experience building and refining automation tools for cloud infrastructures
Experience designing Identity & Access Management (IAM) and security for large-scale organizations
Maintain and extend production data systems to evolve with complex business needs
Production programming experience in Python, R, Scala or Java
Deep Specialty Expertise in at least one of the following areas:
- Experience with scaling big data workloads that are performant and cost effective
- 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 utilizing best practices in cloud security and networking
- Experience implementing industry specific data analytics use cases
[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
{Nice to have} - Databricks Certification
Ability to travel up to 30% when needed

Benefits

Comprehensive health coverage including medical, dental, and vision
401(k) Plan
Equity awards
Flexible time off
Paid parental leave
Family Planning
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Mental wellness resources

About Databricks

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

1,001-5,000 employees

Website

Unified, open platform for enterprise data

Company Overview

Databricks is on a mission to simplify and democratize data and AI, helping data teams solve the world’s toughest problems. As the world’s first and only lakehouse platform in the cloud, Databricks combines the best of data warehouses and data lakes to offer an open and unified platform for data and AI.

Benefits

Extended health care including dental and vision
Life/AD&D and disability coverage
Equity awards
Flexible Vacation
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Employee Assistance Program (EAP)
Business travel accident insurance
Paid Parental Leave