Sr. Solutions Engineer

United States Digital Space LLC; United States; On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Benefits package

Diversity and Inclusion commitment

Travel opportunities

Job summary

United States Digital Space LLC is seeking a Sr. Solutions Engineer to partner with customers in designing scalable data architectures using company technology and services.

You will engage with customer technical leads and act as a trusted advisor throughout the sales lifecycle, reporting to the Field Engineering Manager. You will collaborate with Sales to develop account strategies, establish the Lakehouse standard for customers, and present reference architectures and demos to land new users

Qualifications

• 4+ years in a customer-facing pre-sales, technical architecture, or consulting role.
• Big data engineering experience (Spark, Hadoop, Kafka).
• Data warehousing & ETL experience (SQL, OLTP/OLAP/DSS).
• Data science and ML experience (pandas, scikit-learn, HPO).
• Travel to customers in your region up to 30% of the time.

Responsibilities

• Partner with Sales to develop account strategies and grow platform usage.
• Establish Lakehouse architecture as the standard data architecture for customers.
• Build and present reference architectures and demos for prospects.
• Consult on big data architectures and data pipelines; validate cloud integrations.
• Promote open-source projects (Spark, Delta Lake, MLflow, Koalas) across communities.

Skills

Pre-sales experience

Technical architecture

Consulting

SQL

Education

Degree in quantitative discipline

Tools

Python

Scala

Java

R

Spark

Delta Lake

MLflow

Koalas

Job description

As a Sr. Solutions Engineer at the company within the Field Engineering org you will partner with our customers to design scalable data architectures using the company technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the the company platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across the company and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager.

Impact you will have

• You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform.
• Establish the company Lakehouse architecture as the standard data architecture for customers through excellent technical account planning.
• You will build and present reference architectures and demo applications for prospects to help them understand how the company can be used to achieve their goals to land new users and use cases.
• Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the company technology for strategic customer projects; and validate integrations with cloud services and other 3rd party applications.
• Become an expert in, and promote the company inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars.

What we look for

• 4+ years in a customer-facing pre-sales, technical architecture, or consulting role with expertise in at least one of the following technologies.
• Big data engineering (Ex: Spark, Hadoop, Kafka)
• Data Warehousing & ETL (Ex: SQL, OLTP/OLAP/DSS)
• Data Science and Machine Learning (Ex: pandas, scikit-learn, HPO)
• Data Applications (Ex: Logs Analysis, Threat Detection, Real-time Systems Monitoring, Risk Analysis and more)
• Experience translating a customer's business needs to technology solutions, including establishing buy-in with essential customer stakeholders at all levels of the business.
• Experienced at designing, architecting, and presenting data systems for customers and managing the delivery of production solutions of those data architectures.
• Fluent in SQL and database technology.
• Debug and development experience in at least one of the following languages: Python, Scala, Java, or R.
• [Desired] Built solutions with public cloud providers such as AWS, Azure, or GCP
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Travel to customers in your region up to 30% of the time.

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.