TL;DR

Senior Solutions Architect (Data, AI): Design and implement scalable data architectures using %hirify_global% technology and services, with an accent on establishing the Lakehouse architecture as a standard and proving out technology for strategic customer projects. Focus on consulting on big data architectures, data engineering pipelines, and data science/machine learning projects, and promoting %hirify_global% open-source projects.

Location: Travel to customers in your region up to 30% of the time. This role is based in the Northeast - United States or Southeast - United States.

Salary: $196,200–$274,650 USD

Company

%hirify_global% is a data and AI company that unifies and democratizes data, analytics, and AI for over 10,000 organizations worldwide.

What you will do

Partner with sales to develop account strategies and grow platform usage.
Establish the %hirify_global% Lakehouse architecture as the standard data architecture for customers.
Build and present reference architectures and demo applications to prospects.
Achieve technical wins by consulting on big data, data engineering, and data science/machine learning projects.
Become an expert in and promote %hirify_global%-inspired open-source projects (Spark, Delta Lake, MLflow, Koalas).

Requirements

8+ years in a customer-facing pre-sales or consulting role.
Expertise in at least one of the following: Big Data Engineering (Spark, Hadoop, Kafka), Data Warehousing & ETL (SQL, OLTP/OLAP/DSS), or Data Science and Machine Learning (pandas, scikit-learn, HPO).
Experience translating customer business needs to technology solutions and establishing buy-in with stakeholders.
Experienced at designing, architecting, and presenting data systems for customers and managing production solutions.
Fluent in SQL and database technology.
Debug and development experience in at least one of Python, Scala, Java, or R.
Ability to travel to customers in your region up to 30% of the time.

Nice to have

Built solutions with public cloud providers such as AWS, Azure, or GCP.
Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).

Culture & Benefits

Comprehensive benefits and perks to meet employee needs.
Commitment to fostering a diverse and inclusive culture where everyone can excel.
Hiring practices are inclusive and meet equal employment opportunity standards.