INACTIVE
Full-Time
Lead Solutions Architect
Digital agriculture company
Food & Agriculture
Data & Analytics
Hardware
$137338
Senior
Seattle, WA, USA + 2 more
Required Skills
Kubernetes
Microsoft Azure
Python
Data Science
Tensorflow
R
Git
Java
Docker
AWS
JIRA
Scala
Google Cloud Platform
Requirements
- Masters + 6 years of experience or Bachelors + 8 years of experience with an excellent background of software architecture design and strategy with a fluent understanding of unique challenges presented by deploying data science and machine learning assets to live production systems
- Proven experience facilitating strategic alignment between diverse teams to successfully deliver complex, cross-cutting initiatives to relevant internal and external stakeholders
- Strong understanding of Cloud Services (AWS, Azure, GCP), Data Warehouse and Data Lake Architectures with relevant comprehension of the ingestion of multiple types of data
- Advanced knowledge and experience working with MLOps and Data Science pipelines, Gitlab CI/CD and version control, and continuous orchestration and containerized deployment frameworks (Kubernetes, Docker)
Responsibilities
- Ownership and delivery of Science's future-state strategic and architectural vision, working to define, align, and contextualize key initiatives in relation to the broader organization
- Acting as a liaison between leadership and diverse teams to propel Science's strategic vision forward while maintaining alignment between stakeholders
- Working closely with Portfolio Ops to prioritize and plan delivery of proposed initiatives, collaborating to decompose stories, identify triage candidates where necessary, and review requirements with accountable/impacted teams to orchestrate successful delivery
- Responsible for upkeep, review, and operation of Research Data Engineering's work intake process
- Completing review and requirements gathering for candidate initiatives proposed by teams and identifying key risks and impacts
- Orchestrating with teams to identify up/downstream dependencies, align on project success metrics and create a delivery strategy/timeline
- Decomposition of candidate initiatives and capture of individual epics/stories/subtasks in Jira. Subsequent prioritization and assignment of stories to appropriate team(s)
- Facilitating weekly triage meetings to identify and strategize delivery of work items that require accelerated intervention
Desired Qualifications
- Possess excellent prioritization, contextualization, and interpersonal skills with a strategic reflective thinking mindset to understand the impacts, limitations, and dependencies of our data
- Experience with Python, R, and JVM languages (Java, Scala) with Data Science and Machine Learning libraries: Scikit-Learn, TensorFlow, and Py Torch
- Experience working with Geospatial Data, Libraries, and Technology for dependencies
- Technical depth and experience with modeling may be beneficial to help facilitate and coalesce business and technical requirements into a specific plan of action to the various Science and Engineering teams that are accountable to delivering and implementing functionality
- Strong experience in data science lifecycle management with an appreciation from the initial data artifact into a completed model
- Strong experience with Code Review and Optimization to work with automation and tooling teams
- Experience with Domino Labs, AWS Sagemaker, JupyterLabs, and Vertex AI
Company Stage
N/A
Total Funding
$1.2B
Headquarters
St. Louis, Missouri
Founded
2006
Growth & Insights
Headcount
6 month growth
↓ -18%1 year growth
↓ -15%2 year growth
↓ -11%Benefits
Health Insurance
401K Plan
Work From Home
Maternity & Paternity Leave
Vacation & Paid Time Off
Paid Holidays
Sick Days
Free Lunch or Snacks
INACTIVE