This listing does not state pay. Across 51 open solution architect listings that state pay, the middle half runs $137,500 to $184,500 and the median is $159,000.

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About the job

Mission

Our client’s customers challenge them with solving some of the world’s toughest data problems. Their customers rely on the Solutions Architect team to fully understand the technologies that power our platform, the broader cloud and technology ecosystems, and how they can all be brought together to solve these problems.

Solutions Architects at our client lead the adoption of an Unified Analytics Platform. As a team, they have expertise in cloud platforms, data engineering, data analytics, and data science & machine learning. As a member of our client’s team, you will exercise and develop expertise in those areas, leveraging open-source projects such as Apache Spark, MLflow, and Delta Lake; and major public cloud infrastructure and services. This is a customer facing role, and you will collaborate with customers, your teammates, the product team, and our client’s post-sales teams, to identify use cases for their product, develop architectures and solutions using our client’s platform, and guide customers through the implementation, to realize business value. In that process, you will build relationships with the customers, find and build champions, and become a trusted advisor.

Our client’s culture strongly encourages collaboration and teamwork, and you will have the opportunity to contribute your knowledge back to their teams by participating in one of the SME (subject matter expert) groups. However, this also includes understanding your limits and having a willingness to ask for help!

Outcomes

Partner with the sales team to help customers understand how the platform can help solve their business problems

Provide technical leadership for customers to understand, evaluate, and ultimately adopt, the platform

Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications

Build and present references architectures, how-tos, and demo applications for customers

Provide an escalated level of support for critical customer operational issues

Become an expert in, and evangelize the platform driven open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, webinars, etc.

Understand your strengths, and use them to help your fellow SA’s, and to drive cross-functional relationships across the company.

Travel to customers (up to 30%, of which 80%+ local to your region)

Competencies

Solution Architects are customer-facing. You'll need to be comfortable communicating ideas to various audiences almost every day, primarily through presentations, whiteboarding, and platform demonstrations

3+ years in a customer-facing pre-sales, technical architecture, or consulting role

Experience designing and architecting distributed data systems

Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R

Have built solutions with public cloud providers such as AWS, Azure, or GCP

Expertise in at least one of the following

Data Engineering technologies ( Ex: Spark, Hadoop, Kafka )

Data Warehousing ( Ex: SQL, OLTP/OLAP/DSS )

Data Science and Machine Learning technologies ( Ex: pandas, scikit-learn, HPO )

[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research, etc.)

Some of the Benefits we offer...

Medical, dental, vision

401k Retirement Plan

Unlimited Paid Time Off

Fitness reimbursement

Employee referral bonus program

Awesome coworkers

Headphone allowance

Home office allowance

Maternity and paternity plans

About Our Client

Our client is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on our client's Platform to unify their data, analytics and AI. The company is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, the firm is on a mission to help data teams solve the world’s toughest problems. .

Our Commitment to Diversity and Inclusion

Our client is 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 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.