Solutions Architect - Financial Services

United States Digital Space LLC; New York (NY); On-site; USD 161,300 - 225,800; Full time

Job summary

United States Digital Space LLC is seeking a Solutions Architect to lead the growth of their Unified Analytics Platform. This role involves working closely with customers to develop architectures and solutions, providing technical leadership, and consulting on big data projects.

The ideal candidate will have 7+ years of experience in a customer-facing role, preferably within big data technologies, and an undergraduate degree in engineering or mathematics. The position includes a comprehensive salary range and encourages diversity and inclusion.

Qualifications

• 7+ years in a customer-facing role, preferably with big-data technologies.
• Experience designing and architecting distributed data systems.
• Experience with Financial Services customers is a positive differentiator.

Responsibilities

• Partner with sales to help customers understand business solutions.
• Provide technical leadership for evaluating and adopting solutions.
• Consult on big data architecture and validate integrations.

Skills

Customer-facing pre-sales role

Big-data technologies

Programming (Python, SQL, Scala, Java, R)

Data Engineering technologies (Spark, Hadoop, Kafka)

Data Warehousing technologies (SQL, OLTP/OLAP/DSS)

Education

Undergraduate degree in engineering or mathematics

Job description

P-212

While candidates in the listed location(s) are encouraged for this role, other EST locations will be considered.

Mission

Solutions Architects at the company lead the growth of the the company Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science, machine learning, and generative AI. As a member of our team, you will exercise and grow your expertise in those areas, using open-source projects such as Apache Spark™ Delta Lake and MLflow. This is a customer-facing role, where you will work with customers, your teammates, the product team, our post-sales teams and partners, to identify use cases for the company, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish meaningful outcomes for their businesses. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to a Field Engineering Manager within the Financial Services team at the company.

The impact you will have

• Partner with the sales team to help customers understand how the company can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt 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, how-tos, and demonstrate applications for customers
• Become an expert in, and promote open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to meet with customers in your territory

What we look for

• 7+ years in a customer-facing pre-sales role, or consulting role - preferably working with big-data technologies to solve data engineering and big-data analytical challenges
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, SQL, Scala, Java,, or R
• Experience working with Financial Services customers is a positive differentiator
• Experience building solutions with public cloud providers such as AWS, Azure, or GCP
• Experience with data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Experience with data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS)
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.)

Pay Range Transparency

the company is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, the company anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range: $161,300 — $225,800 USD

Zone 2 Pay Range: $161,300 — $225,800 USD

Zone 3 Pay Range: $161,300 — $225,800 USD

Zone 4 Pay Range: $161,300 — $225,800 USD

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.