Senior Data & AI Solutions Architect (Remote)

United States Digital Space LLC; United States; Remote; USD 219,100 - 301,300; Full time

Job summary

The Sr. Solutions Architect role at the company focuses on shaping Data & AI strategies for DNB customers. You will collaborate with data engineers, data scientists, and product teams to design architectures using our platform and APIs, shaping cloud-based solutions and open-source contributions.

Expect to lead technical discovery, build proof-of-concepts, and travel to customers within your region. A quantitative degree and cloud experience are preferred for success in this senior pre-sales

Qualifications

• 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in Python and SQL
• Built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in data engineering or data science technologies (Spark, Hadoop, Kafka; pandas, scikit-learn, PyTorch, TensorFlow)

Responsibilities

• Lead technical discovery and design architectures, implement proof of concepts for strategic projects spanning data engineering, data science and ML
• Develop architectures using our platform and APIs, guiding customers through best practices and implementation
• Act as strategic technical advisor to drive business outcomes
• Collaborate with Solutions Architects to support customers and users
• Promote and recruit contributors for our open-source projects (Spark, Delta Lake, MLflow) across the developer community

Skills

Data engineering

Data science

Technical architecture

Pre-sales

Python

SQL

Cloud platforms

Spark

Hadoop

Kafka

Pandas

PyTorch

TensorFlow

Education

Bachelor’s or Master’s degree in a quantitative discipline

Tools

Spark

Hadoop

Kafka

Job description

The Sr. Solutions Architect role at the company focuses on shaping Data & AI strategies for DNB customers. You will collaborate with data engineers, data scientists, and product teams to design architectures using our platform and APIs, shaping cloud-based solutions and open-source contributions.

Expect to lead technical discovery, build proof-of-concepts, and travel to customers within your region. A quantitative degree and cloud experience are preferred for success in this senior pre-sales