Sr. Solutions Architect (Fintech)

TL;DR

Sr. Solutions Architect (Fintech): Leading the growth of the hirify.global Data Intelligence Platform with an accent on cloud platforms, data engineering, data analytics, data science, machine learning, and AI. Focus on identifying use cases for hirify.global, developing architectures and solutions using our platform, and guiding customers through the implementation.

Location: Maryland, New York, Virginia, or other East Coast locations.

Salary: $219,100 — $301,300 USD

Company

hirify.global is the data and AI company that unifies and democratizes data, analytics, and AI for more than 10,000 organizations worldwide.

What you will do

• Partner with the sales team to help customers understand how hirify.global can help solve their business problems.
• Provide technical leadership for customers to evaluate and adopt hirify.global.
• Consult on big data architecture, execute proof of concepts for strategic customer projects, and validate integrations with cloud services and other 3rd party applications.
• Build and present reference architectures, how-tos, and demonstrate applications for customers.
• Promote open source projects (Apache Spark™, Delta Lake, MLflow, and Unity Catalog) across developer communities through meetups, conferences, and webinars.

Requirements

• 10+ years in a customer-facing pre-sales 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 building solutions with public cloud providers such as AWS, Azure, or GCP.
• Experience with Data Engineering technologies (Ex: Spark, Hadoop, Kafka).
• Undergraduate degree or higher in an engineering or mathematics discipline such as Computer Science, Applied Mathematics, Electrical Engineering, etc.

Nice to have

• Experience working with global system integrators, consulting organizations, or financial services technology, or financial services data providers.
• Experience with Data Warehousing technologies (Ex: SQL, OLTP/OLAP/DSS).

Culture & Benefits

• Comprehensive benefits and perks to meet the needs of all employees.
• Committed to fostering a diverse and inclusive culture where everyone can excel.
• Hiring practices are inclusive and meet equal employment opportunity standards.