Solutions Architect

United States Digital Space LLC; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

United States Digital Space LLC is seeking a Solutions Architect to guide customers in leveraging the Unified Analytics Platform for data and AI initiatives. You will sharpen your skills on open-source projects such as Apache Spark, MLflow, and Delta Lake to advocate lakehouse concepts across cloud providers.

In this customer-facing role, you will architect solutions, develop reference architectures, and collaborate with sales to build trusted relationships.

Qualifications

• 4+ years in a customer-facing pre-sales, technical architecture, or consulting role.
• Experience designing and architecting distributed data systems.
• Comfortable programming in Python, Scala, Java, SQL, or R.

Responsibilities

• Provide technical leadership for customers to evaluate and adopt Data and AI solutions.
• Consult on big data architecture, implement POCs, and validate integrations with cloud services and 3rd party apps.
• Build and present reference architectures, technical guides, and demo applications.
• Provide escalated support for critical customer operational issues.
• Evangelize open-source projects like Apache Spark, Delta Lake, MLflow, Koalas across communities.
• Support fellow Solutions Architects and drive cross-functional relationships.
• Travel to customers up to 30%.

Skills

Customer-facing

Distributed data systems

Programming languages

Education

Degree in CS/Math

Tools

Spark

Hadoop

Kafka

Job description

At the company, our customers challenge us with solving some of the world's toughest data problems. Our customers rely on our Solutions Architect team to 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 the company lead the adoption of the company Unified Analytics Platform. As a member of our team, you will sharpen your skills on open-source projects such as Apache Spark, MLflow, and Delta Lake to advocate the Lakehouse paradigm on public cloud providers. You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. In this customer-facing role, you will identify use cases for the company, develop architectures and solutions using our platform, and guide customers through implementations to deliver strategic business value. You will partner with the sales team to build relationships with our customers and establish yourself as a trusted advisor.

The company culture thrives on collaboration and teamwork, and you will contribute your knowledge to our teams by participating in our subject matter expert groups. In this role, you will report to the Solutions Architect Leader supporting the specific business segment.

If you are a technologist interested in Data and AI, and enjoy prototyping solutions for customers, this role is for you.

The impact you will have

• Provide technical leadership for customers to evaluate and adopt Data and AI solutions from the company
• 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 reference architectures, technical guides, and demo applications for customers
• Provide escalated support for critical customer operational issues
• Become an expert in, and evangelize the company driven open-source projects (Apache Spark, Delta Lake, MLflow, Koalas) across developer communities through meetups, conferences, and webinars
• Use your strengths to help your fellow SA's, and drive cross-functional relationships across the company
• Travel to customers up to 30%

What we look for

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

• 4+ 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
• Experience in at least one of the following:
  • Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
  • Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
  • Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
• Preferred: Degree in a quantitative discipline (e.g., Computer Science, Applied Mathematics, Operations Research, etc.)
• Nice to have: the company Certification

Benefits

At the company, 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 click here.

Our Commitment to Diversity and Inclusion

At the company, 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 the company 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.